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Título : An Introduction to Order Statistics Tipo de documento: documento electrónico Autores: Mohammad Ahsanullah ; SpringerLink (Online service) ; Valery B. Nevzorov ; Shakil, Mohammad Editorial: Paris : Atlantis Press Fecha de publicación: 2013 Colección: Atlantis Studies in Probability and Statistics, ISSN 1879-6893 num. 3 Número de páginas: X, 246 p Il.: online resource ISBN/ISSN/DL: 978-94-91216-83-1 Idioma : Inglés (eng) Palabras clave: Statistics Biostatistics Econometrics Statistical Theory and Methods for Business/Economics/Mathematical Finance/Insurance Engineering, Physics, Computer Science, Chemistry Earth Sciences Statistics, general Clasificación: 51 Matemáticas Resumen: This book presents the theory of order statistics in a way, such that beginners can get easily acquainted with the very basis of the theory without having to work through heavily involved techniques. At the same time more experienced readers can check their level of understanding and polish their knowledge with certain details. This is achieved by, on the one hand, stating the basic formulae and providing many useful examples to illustrate the theoretical statements, while on the other hand an upgraded list of references will make it easier to gain insight into more specialized results. Thus this book is suitable for a readership working in statistics, actuarial mathematics, reliability engineering, meteorology, hydrology, business economics, sports analysis and many more Nota de contenido: Basic definitions -- Distributions of order statistics -- Sample quantiles and ranges -- Representations for order statistics -- Conditional distributions of order statistics.-Order statistics for discrete distributions -- Moments of order statistics: general relations -- Moments of uniform and exponential order statistics -- Moment relations for order statistics: normal distribution -- Asymptotic behavior of the middle and intermediate order statistics -- Asymptotic behavior of the extreme order statistics -- Some properties of estimators based on order statistics -- Minimum variance linear unbiased estimators -- Minimum variance linear unbiased estimators and predictors based on censored samples -- Estimation of parameters based on fixed number of sample quantiles -- Order statistics from extended samples -- Order statistics and record values -- Characterizations of distributions based on properties of order statistics -- Order statistics and record values based on Fa distributions -- Generalized order statistics -- Compliments and problems En línea: http://dx.doi.org/10.2991/978-94-91216-83-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32653 An Introduction to Order Statistics [documento electrónico] / Mohammad Ahsanullah ; SpringerLink (Online service) ; Valery B. Nevzorov ; Shakil, Mohammad . - Paris : Atlantis Press, 2013 . - X, 246 p : online resource. - (Atlantis Studies in Probability and Statistics, ISSN 1879-6893; 3) .
ISBN : 978-94-91216-83-1
Idioma : Inglés (eng)
Palabras clave: Statistics Biostatistics Econometrics Statistical Theory and Methods for Business/Economics/Mathematical Finance/Insurance Engineering, Physics, Computer Science, Chemistry Earth Sciences Statistics, general Clasificación: 51 Matemáticas Resumen: This book presents the theory of order statistics in a way, such that beginners can get easily acquainted with the very basis of the theory without having to work through heavily involved techniques. At the same time more experienced readers can check their level of understanding and polish their knowledge with certain details. This is achieved by, on the one hand, stating the basic formulae and providing many useful examples to illustrate the theoretical statements, while on the other hand an upgraded list of references will make it easier to gain insight into more specialized results. Thus this book is suitable for a readership working in statistics, actuarial mathematics, reliability engineering, meteorology, hydrology, business economics, sports analysis and many more Nota de contenido: Basic definitions -- Distributions of order statistics -- Sample quantiles and ranges -- Representations for order statistics -- Conditional distributions of order statistics.-Order statistics for discrete distributions -- Moments of order statistics: general relations -- Moments of uniform and exponential order statistics -- Moment relations for order statistics: normal distribution -- Asymptotic behavior of the middle and intermediate order statistics -- Asymptotic behavior of the extreme order statistics -- Some properties of estimators based on order statistics -- Minimum variance linear unbiased estimators -- Minimum variance linear unbiased estimators and predictors based on censored samples -- Estimation of parameters based on fixed number of sample quantiles -- Order statistics from extended samples -- Order statistics and record values -- Characterizations of distributions based on properties of order statistics -- Order statistics and record values based on Fa distributions -- Generalized order statistics -- Compliments and problems En línea: http://dx.doi.org/10.2991/978-94-91216-83-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32653 Ejemplares
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Título : Applied Statistics for Business and Management using Microsoft Excel Tipo de documento: documento electrónico Autores: Linda Herkenhoff ; SpringerLink (Online service) ; John Fogli Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Número de páginas: XIV, 417 p. 620 illus., 569 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4614-8423-3 Idioma : Inglés (eng) Palabras clave: Statistics and Computing/Statistics Programs for Business/Economics/Mathematical Finance/Insurance Statistics, general Clasificación: 51 Matemáticas Resumen: Applied Business Statistics for Business and Management using Microsoft Exel is the first book to illustrate the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical statistical problems in industry. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Applied Business Statistics for Business and Management capitalizes on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and workplace. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions. Linda Herkenhoff is currently a full professor and director of the Transglobal MBA program at Saint Mary’s College in Moraga, California, where she teaches Quantitative Analysis and Statistics. She is the former Executive Director of Human Resources for Stanford University. The first sixteen years of her career included various responsibilities within Chevron Corporation, primarily as a geophysicist. She has lived/worked/conducted research in over 30 countries and has spent time on all 7 continents. John Fogli is the Founder and President of Sentenium, Inc. John's business research methods have helped public and private industries better understand the involvement necessary to lead consensus solutions. He has facilitated over 500 survey projects in the areas of consumer, employee, political, and operation(s) research. He is a member of the Market Research Association and holds a Professional Research Certificate. He is currently a part-time faculty member with the Department of Business at Diablo Valley College and sits on the Executive Council for The Pacific Chapter of American Association for Public Opinion Research. He earned his B.S. from University of California, Berkeley and an MBA from the University of San Francisco En línea: http://dx.doi.org/10.1007/978-1-4614-8423-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32386 Applied Statistics for Business and Management using Microsoft Excel [documento electrónico] / Linda Herkenhoff ; SpringerLink (Online service) ; John Fogli . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XIV, 417 p. 620 illus., 569 illus. in color : online resource.
ISBN : 978-1-4614-8423-3
Idioma : Inglés (eng)
Palabras clave: Statistics and Computing/Statistics Programs for Business/Economics/Mathematical Finance/Insurance Statistics, general Clasificación: 51 Matemáticas Resumen: Applied Business Statistics for Business and Management using Microsoft Exel is the first book to illustrate the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical statistical problems in industry. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Applied Business Statistics for Business and Management capitalizes on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and workplace. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions. Linda Herkenhoff is currently a full professor and director of the Transglobal MBA program at Saint Mary’s College in Moraga, California, where she teaches Quantitative Analysis and Statistics. She is the former Executive Director of Human Resources for Stanford University. The first sixteen years of her career included various responsibilities within Chevron Corporation, primarily as a geophysicist. She has lived/worked/conducted research in over 30 countries and has spent time on all 7 continents. John Fogli is the Founder and President of Sentenium, Inc. John's business research methods have helped public and private industries better understand the involvement necessary to lead consensus solutions. He has facilitated over 500 survey projects in the areas of consumer, employee, political, and operation(s) research. He is a member of the Market Research Association and holds a Professional Research Certificate. He is currently a part-time faculty member with the Department of Business at Diablo Valley College and sits on the Executive Council for The Pacific Chapter of American Association for Public Opinion Research. He earned his B.S. from University of California, Berkeley and an MBA from the University of San Francisco En línea: http://dx.doi.org/10.1007/978-1-4614-8423-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32386 Ejemplares
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Título : Business Statistics for Competitive Advantage with Excel 2010 : Basics, Model Building, and Cases Tipo de documento: documento electrónico Autores: Cynthia Fraser ; SpringerLink (Online service) Editorial: New York, NY : Springer New York Fecha de publicación: 2012 Otro editor: Imprint: Springer Número de páginas: XVI, 469 p. 357 illus., 354 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4419-9857-6 Idioma : Inglés (eng) Palabras clave: Statistics for Business/Economics/Mathematical Finance/Insurance and Computing/Statistics Programs Statistics, general Clasificación: 51 Matemáticas Resumen: Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics to provide information on performance response under alternative scenarios. This updated edition of the popular text helps business students develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2010 with shortcuts, and translate results into implications for decision makers. The author emphasizes communicating results effectively in plain English and with compelling graphics in the form of memos and PowerPoints. Statistics, from basics to sophisticated models, are illustrated with examples using real data such as students will encounter in their roles as managers. A number of examples focus on business in emerging global markets with particular emphasis on China and India. Results are linked to implications for decision making with sensitivity analyses to illustrate how alternate scenarios can be compared. Chapters include screenshots to make it easy to conduct analyses in Excel 2010 with time-saving shortcuts expected in the business world. PivotTables and PivotCharts, used frequently in businesses, are introduced from the start. Monte Carlo simulation is introduced early, as a tool to illustrate the range of possible outcomes from decision makers’ assumptions and underlying uncertainties. Model building with regression is presented as a process, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting and model validation, autocorrelation and remedies, indicator variables to represent segment differences, and seasonality, structural shifts or shocks in time series models. Special applications in market segmentation and portfolio analysis are offered, and an introduction to conjoint analysis is included. Nonlinear models are motivated with arguments of diminishing or increasing marginal response, and a chapter on logit regression models introduces models of market share or proportions. The Second Edition includes more explanation of hypothesis tests and confidence intervals, how t, F, and chi square distributions behave Nota de contenido: Statistics for Decision Making and Competitive Advantage -- Describing Your Data -- Hypothesis Tests, Confidence Intervals and Simulation to Infer Population Characteristics and Differences -- Quantifying the Influence of Performance Drivers and Forecasting: Regression -- Marketing Sgementation with Descriptive Statistics, Inference, Hypothesis Tests and Regression -- Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression -- Association between Two Categorical Variables: Contingency Analysis with Chi Square -- Building Multiple Regression Models -- Model Building and Forecasting with Multicollinear Time Series -- Indicator Variables -- Nonlinear Multiple Regression Models -- Indicator Interactions for Segment Differences or Changes in Response -- Logit Regression for Bounded Responses En línea: http://dx.doi.org/10.1007/978-1-4419-9857-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32713 Business Statistics for Competitive Advantage with Excel 2010 : Basics, Model Building, and Cases [documento electrónico] / Cynthia Fraser ; SpringerLink (Online service) . - New York, NY : Springer New York : Imprint: Springer, 2012 . - XVI, 469 p. 357 illus., 354 illus. in color : online resource.
ISBN : 978-1-4419-9857-6
Idioma : Inglés (eng)
Palabras clave: Statistics for Business/Economics/Mathematical Finance/Insurance and Computing/Statistics Programs Statistics, general Clasificación: 51 Matemáticas Resumen: Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics to provide information on performance response under alternative scenarios. This updated edition of the popular text helps business students develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2010 with shortcuts, and translate results into implications for decision makers. The author emphasizes communicating results effectively in plain English and with compelling graphics in the form of memos and PowerPoints. Statistics, from basics to sophisticated models, are illustrated with examples using real data such as students will encounter in their roles as managers. A number of examples focus on business in emerging global markets with particular emphasis on China and India. Results are linked to implications for decision making with sensitivity analyses to illustrate how alternate scenarios can be compared. Chapters include screenshots to make it easy to conduct analyses in Excel 2010 with time-saving shortcuts expected in the business world. PivotTables and PivotCharts, used frequently in businesses, are introduced from the start. Monte Carlo simulation is introduced early, as a tool to illustrate the range of possible outcomes from decision makers’ assumptions and underlying uncertainties. Model building with regression is presented as a process, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting and model validation, autocorrelation and remedies, indicator variables to represent segment differences, and seasonality, structural shifts or shocks in time series models. Special applications in market segmentation and portfolio analysis are offered, and an introduction to conjoint analysis is included. Nonlinear models are motivated with arguments of diminishing or increasing marginal response, and a chapter on logit regression models introduces models of market share or proportions. The Second Edition includes more explanation of hypothesis tests and confidence intervals, how t, F, and chi square distributions behave Nota de contenido: Statistics for Decision Making and Competitive Advantage -- Describing Your Data -- Hypothesis Tests, Confidence Intervals and Simulation to Infer Population Characteristics and Differences -- Quantifying the Influence of Performance Drivers and Forecasting: Regression -- Marketing Sgementation with Descriptive Statistics, Inference, Hypothesis Tests and Regression -- Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression -- Association between Two Categorical Variables: Contingency Analysis with Chi Square -- Building Multiple Regression Models -- Model Building and Forecasting with Multicollinear Time Series -- Indicator Variables -- Nonlinear Multiple Regression Models -- Indicator Interactions for Segment Differences or Changes in Response -- Logit Regression for Bounded Responses En línea: http://dx.doi.org/10.1007/978-1-4419-9857-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32713 Ejemplares
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Título : Business Statistics for Competitive Advantage with Excel 2013 : Basics, Model Building, Simulation and Cases Tipo de documento: documento electrónico Autores: Cynthia Fraser ; SpringerLink (Online service) Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Número de páginas: XIV, 449 p. 406 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4614-7381-7 Idioma : Inglés (eng) Palabras clave: Statistics Business Management science for Business/Economics/Mathematical Finance/Insurance and Computing/Statistics Programs Statistics, general Management, Clasificación: 51 Matemáticas Resumen: Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics to provide information on performance response under alternative scenarios. This updated edition of the popular text helps business students develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2013 with shortcuts, and translate results into implications for decision makers. The author emphasizes communicating results effectively in plain English and with compelling graphics in the form of memos and PowerPoints. Statistics, from basics to sophisticated models, are illustrated with examples using real data such as students will encounter in their roles as managers. A number of examples focus on business in emerging global markets with particular emphasis on emerging markets in Latin America, China and India. Results are linked to implications for decision making with sensitivity analyses to illustrate how alternate scenarios can be compared. Chapters include screenshots to make it easy to conduct analyses in Excel 2013 with time-saving shortcuts expected in the business world. PivotTables and PivotCharts, used frequently in businesses, are introduced from the start. The Third Edition features Monte Carlo simulation in three chapters, as a tool to illustrate the range of possible outcomes from decision makers’ assumptions and underlying uncertainties. Model building with regression is presented as a process, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting and model validation, autocorrelation and remedies, indicator variables to represent segment differences, and seasonality, structural shifts or shocks in time series models. Special applications in market segmentation and portfolio analysis are offered, and an introduction to conjoint analysis is included. Nonlinear models are motivated with arguments of diminishing or increasing marginal response Nota de contenido: Statistics for Decision Making and Competitive Advantage -- Describing Your Data Chapter -- Hypothesis Tests, Confidence Intervals, and Simulation to Infer Population Characteristics and Differences -- Quantifying the Influence of Performance Drivers and Forecasting: Regression -- Market Simulation and Segmentation with Descriptive Statistics, Inference, Hypothesis Tests, and Regression -- Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression -- Association between Two Categorical Variables: Contingency Analysis with Chi Square -- Building Multiple Regression Models -- Model Building and Forecasting with Multicollinear Time Series -- Indicator Variables -- Nonlinear Multiple Regression Models -- Indicator Interactions for Segment Differences or Changes in Response -- Logit Regression for Bounded Responses -- Index En línea: http://dx.doi.org/10.1007/978-1-4614-7381-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32352 Business Statistics for Competitive Advantage with Excel 2013 : Basics, Model Building, Simulation and Cases [documento electrónico] / Cynthia Fraser ; SpringerLink (Online service) . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XIV, 449 p. 406 illus. in color : online resource.
ISBN : 978-1-4614-7381-7
Idioma : Inglés (eng)
Palabras clave: Statistics Business Management science for Business/Economics/Mathematical Finance/Insurance and Computing/Statistics Programs Statistics, general Management, Clasificación: 51 Matemáticas Resumen: Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics to provide information on performance response under alternative scenarios. This updated edition of the popular text helps business students develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2013 with shortcuts, and translate results into implications for decision makers. The author emphasizes communicating results effectively in plain English and with compelling graphics in the form of memos and PowerPoints. Statistics, from basics to sophisticated models, are illustrated with examples using real data such as students will encounter in their roles as managers. A number of examples focus on business in emerging global markets with particular emphasis on emerging markets in Latin America, China and India. Results are linked to implications for decision making with sensitivity analyses to illustrate how alternate scenarios can be compared. Chapters include screenshots to make it easy to conduct analyses in Excel 2013 with time-saving shortcuts expected in the business world. PivotTables and PivotCharts, used frequently in businesses, are introduced from the start. The Third Edition features Monte Carlo simulation in three chapters, as a tool to illustrate the range of possible outcomes from decision makers’ assumptions and underlying uncertainties. Model building with regression is presented as a process, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting and model validation, autocorrelation and remedies, indicator variables to represent segment differences, and seasonality, structural shifts or shocks in time series models. Special applications in market segmentation and portfolio analysis are offered, and an introduction to conjoint analysis is included. Nonlinear models are motivated with arguments of diminishing or increasing marginal response Nota de contenido: Statistics for Decision Making and Competitive Advantage -- Describing Your Data Chapter -- Hypothesis Tests, Confidence Intervals, and Simulation to Infer Population Characteristics and Differences -- Quantifying the Influence of Performance Drivers and Forecasting: Regression -- Market Simulation and Segmentation with Descriptive Statistics, Inference, Hypothesis Tests, and Regression -- Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression -- Association between Two Categorical Variables: Contingency Analysis with Chi Square -- Building Multiple Regression Models -- Model Building and Forecasting with Multicollinear Time Series -- Indicator Variables -- Nonlinear Multiple Regression Models -- Indicator Interactions for Segment Differences or Changes in Response -- Logit Regression for Bounded Responses -- Index En línea: http://dx.doi.org/10.1007/978-1-4614-7381-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32352 Ejemplares
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Título : Chance Rules : an informal guide to probability, risk and statistics Tipo de documento: documento electrónico Autores: Brian S. Everitt ; SpringerLink (Online service) Editorial: New York, NY : Springer New York Fecha de publicación: 2008 Número de páginas: VI, 142 p Il.: online resource ISBN/ISSN/DL: 978-0-387-77415-2 Idioma : Inglés (eng) Palabras clave: Mathematics Probabilities Statistics Probability Theory and Stochastic Processes Statistics, general Clasificación: 51 Matemáticas Resumen: Chance continues to govern our lives in the 21st Century. From the genes we inherit and the environment into which we are born, to the lottery ticket we buy at the local store, much of life is a gamble. In business, education, travel, health, and marriage, we take chances in the hope of obtaining something better. Chance colors our lives with uncertainty, and so it is important to examine it and try to understand about how it operates in a number of different circumstances. Such understanding becomes simpler if we take some time to learn a little about probability, since probability is the natural language of uncertainty. This second edition of Chance Rules again recounts the story of chance through history and the various ways it impacts on our lives. Here you can read about the earliest gamblers who thought that the fall of the dice was controlled by the gods, as well as the modern geneticist and quantum theory researcher trying to integrate aspects of probability into their chosen speciality. Example included in the first addition such as the infamous Monty Hall problem, tossing coins, coincidences, horse racing, birthdays and babies remain, often with an expanded discussion, in this edition. Additional material in the second edition includes, a probabilistic explanation of why things were better when you were younger, consideration of whether you can use probability to prove the existence of God, how long you may have to wait to win the lottery, some court room dramas, predicting the future, and how evolution scores over creationism. Chance Rules lets you learn about probability without complex mathematics. Brian Everitt is Professor Emeritus at King's College, London. He is the author of over 50 books on statistics. Nota de contenido: A Brief History of Chance -- What Are the Chances? Assigning Probabilities -- Choice and Chance; Permutations and Combinations -- Tossing Coins and Having Babies -- Rolling Dice -- Gambling for Fun: Lotteries and Football Pools -- Serious Gambling: Roulette, Cards and Horse Racing -- Balls, Birthdays and Coincidences -- Conditional Probability and the Reverend Thomas Bayes -- Puzzling Probabilities -- Taking Risks -- Statistics, Statisticians and Medicine -- Alternative Therapies#x2014;Panaceas or Placebos? -- What Does the Future Hold? -- Chance, Chaos and Chromosomes En línea: http://dx.doi.org/10.1007/978-0-387-77415-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34234 Chance Rules : an informal guide to probability, risk and statistics [documento electrónico] / Brian S. Everitt ; SpringerLink (Online service) . - New York, NY : Springer New York, 2008 . - VI, 142 p : online resource.
ISBN : 978-0-387-77415-2
Idioma : Inglés (eng)
Palabras clave: Mathematics Probabilities Statistics Probability Theory and Stochastic Processes Statistics, general Clasificación: 51 Matemáticas Resumen: Chance continues to govern our lives in the 21st Century. From the genes we inherit and the environment into which we are born, to the lottery ticket we buy at the local store, much of life is a gamble. In business, education, travel, health, and marriage, we take chances in the hope of obtaining something better. Chance colors our lives with uncertainty, and so it is important to examine it and try to understand about how it operates in a number of different circumstances. Such understanding becomes simpler if we take some time to learn a little about probability, since probability is the natural language of uncertainty. This second edition of Chance Rules again recounts the story of chance through history and the various ways it impacts on our lives. Here you can read about the earliest gamblers who thought that the fall of the dice was controlled by the gods, as well as the modern geneticist and quantum theory researcher trying to integrate aspects of probability into their chosen speciality. Example included in the first addition such as the infamous Monty Hall problem, tossing coins, coincidences, horse racing, birthdays and babies remain, often with an expanded discussion, in this edition. Additional material in the second edition includes, a probabilistic explanation of why things were better when you were younger, consideration of whether you can use probability to prove the existence of God, how long you may have to wait to win the lottery, some court room dramas, predicting the future, and how evolution scores over creationism. Chance Rules lets you learn about probability without complex mathematics. Brian Everitt is Professor Emeritus at King's College, London. He is the author of over 50 books on statistics. Nota de contenido: A Brief History of Chance -- What Are the Chances? Assigning Probabilities -- Choice and Chance; Permutations and Combinations -- Tossing Coins and Having Babies -- Rolling Dice -- Gambling for Fun: Lotteries and Football Pools -- Serious Gambling: Roulette, Cards and Horse Racing -- Balls, Birthdays and Coincidences -- Conditional Probability and the Reverend Thomas Bayes -- Puzzling Probabilities -- Taking Risks -- Statistics, Statisticians and Medicine -- Alternative Therapies#x2014;Panaceas or Placebos? -- What Does the Future Hold? -- Chance, Chaos and Chromosomes En línea: http://dx.doi.org/10.1007/978-0-387-77415-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34234 Ejemplares
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