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Título : Statistics for Business and Financial Economics Tipo de documento: documento electrónico Autores: Cheng-Few Lee ; SpringerLink (Online service) ; John C. Lee ; Alice C. Lee Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Número de páginas: XLVIII, 1206 p. 313 illus., 189 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4614-5897-5 Idioma : Inglés (eng) Palabras clave: Statistics Macroeconomics for Business/Economics/Mathematical Finance/Insurance Statistics, general Macroeconomics/Monetary Economics//Financial Economics Clasificación: 51 Matemáticas Resumen: Statistics for Business and Financial Economics, 3rd edition is the definitive Business Statistics book to use Finance, Economics, and Accounting data throughout the entire book. Therefore, this book gives students an understanding of how to apply the methodology of statistics to real world situations. In particular, this book shows how descriptive statistics, probability, statistical distributions, statistical inference, regression methods, and statistical decision theory can be used to analyze individual stock price, stock index, stock rate of return, market rate of return, and decision making. In addition, this book also shows how time-series analysis and the statistical decision theory method can be used to analyze accounting and financial data. In this fully-revised edition, the real world examples have been reconfigured and sections have been edited for better understanding of the topics Nota de contenido: Introduction and Descriptive Statistics -- Probability and Important Distributions -- Statistical Inferences Based on Samples -- Regression and Correlation: Relating Two or More Variables -- Selected Topics in Statistical Analysis for Business and Economics -- Appendices -- Index En línea: http://dx.doi.org/10.1007/978-1-4614-5897-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32274 Statistics for Business and Financial Economics [documento electrónico] / Cheng-Few Lee ; SpringerLink (Online service) ; John C. Lee ; Alice C. Lee . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XLVIII, 1206 p. 313 illus., 189 illus. in color : online resource.
ISBN : 978-1-4614-5897-5
Idioma : Inglés (eng)
Palabras clave: Statistics Macroeconomics for Business/Economics/Mathematical Finance/Insurance Statistics, general Macroeconomics/Monetary Economics//Financial Economics Clasificación: 51 Matemáticas Resumen: Statistics for Business and Financial Economics, 3rd edition is the definitive Business Statistics book to use Finance, Economics, and Accounting data throughout the entire book. Therefore, this book gives students an understanding of how to apply the methodology of statistics to real world situations. In particular, this book shows how descriptive statistics, probability, statistical distributions, statistical inference, regression methods, and statistical decision theory can be used to analyze individual stock price, stock index, stock rate of return, market rate of return, and decision making. In addition, this book also shows how time-series analysis and the statistical decision theory method can be used to analyze accounting and financial data. In this fully-revised edition, the real world examples have been reconfigured and sections have been edited for better understanding of the topics Nota de contenido: Introduction and Descriptive Statistics -- Probability and Important Distributions -- Statistical Inferences Based on Samples -- Regression and Correlation: Relating Two or More Variables -- Selected Topics in Statistical Analysis for Business and Economics -- Appendices -- Index En línea: http://dx.doi.org/10.1007/978-1-4614-5897-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32274 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Strength in Numbers: The Rising of Academic Statistics Departments in the U. S / SpringerLink (Online service) ; Alan Agresti ; Xiao-Li Meng (2013)
Título : Strength in Numbers: The Rising of Academic Statistics Departments in the U. S Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Alan Agresti ; Xiao-Li Meng Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Número de páginas: XVI, 564 p Il.: online resource ISBN/ISSN/DL: 978-1-4614-3649-2 Idioma : Inglés (eng) Palabras clave: Statistics History Public health Mathematical statistics Higher education Social sciences Statistics, general of Science Education Sciences, Health Probability and in Computer Clasificación: 51 Matemáticas Resumen: Statistical science as organized in formal academic departments is relatively new. With a few exceptions, most Statistics and Biostatistics departments have been created within the past 60 years. This book consists of a set of memoirs, one for each department in the U.S. created by the mid-1960s. The memoirs describe key aspects of the department’s history -- its founding, its growth, key people in its development, success stories (such as major research accomplishments) and the occasional failure story, PhD graduates who have had a significant impact, its impact on statistical education, and a summary of where the department stands today and its vision for the future. Read here all about how departments such as at Berkeley, Chicago, Harvard, and Stanford started and how they got to where they are today. The book should also be of interest to scholars in the field of disciplinary history Nota de contenido: Statistics as an Academic Discipline -- Carnegie-Mellon -- Columbia University -- Cornell University -- Florida State University -- George Washington University -- Harvard University -- Harvard University -- Iowa State University -- Johns Hopkins University -- Kansas State University -- Michigan State University -- North Carolina State -- Oregon State University -- Penn State University -- Princeton University -- Purdue University -- Rutgers University -- Southern Methodist University -- Stanford University -- SUNY at Buffalo -- Texas A&M -- University of California -- University of Chicago -- University of Connecticut -- University of Florida -- University of Georgia -- University of Iowa -- University of Michigan -- University of Minnesota -- University of Missouri -- University of North Carolina -- University of North Carolina -- University of Pennsylvania -- University of Pittsburgh -- University of Washington -- University of Washington -- University of Wisconsin -- Virginia Tech University -- Yale University -- Referees En línea: http://dx.doi.org/10.1007/978-1-4614-3649-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32209 Strength in Numbers: The Rising of Academic Statistics Departments in the U. S [documento electrónico] / SpringerLink (Online service) ; Alan Agresti ; Xiao-Li Meng . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XVI, 564 p : online resource.
ISBN : 978-1-4614-3649-2
Idioma : Inglés (eng)
Palabras clave: Statistics History Public health Mathematical statistics Higher education Social sciences Statistics, general of Science Education Sciences, Health Probability and in Computer Clasificación: 51 Matemáticas Resumen: Statistical science as organized in formal academic departments is relatively new. With a few exceptions, most Statistics and Biostatistics departments have been created within the past 60 years. This book consists of a set of memoirs, one for each department in the U.S. created by the mid-1960s. The memoirs describe key aspects of the department’s history -- its founding, its growth, key people in its development, success stories (such as major research accomplishments) and the occasional failure story, PhD graduates who have had a significant impact, its impact on statistical education, and a summary of where the department stands today and its vision for the future. Read here all about how departments such as at Berkeley, Chicago, Harvard, and Stanford started and how they got to where they are today. The book should also be of interest to scholars in the field of disciplinary history Nota de contenido: Statistics as an Academic Discipline -- Carnegie-Mellon -- Columbia University -- Cornell University -- Florida State University -- George Washington University -- Harvard University -- Harvard University -- Iowa State University -- Johns Hopkins University -- Kansas State University -- Michigan State University -- North Carolina State -- Oregon State University -- Penn State University -- Princeton University -- Purdue University -- Rutgers University -- Southern Methodist University -- Stanford University -- SUNY at Buffalo -- Texas A&M -- University of California -- University of Chicago -- University of Connecticut -- University of Florida -- University of Georgia -- University of Iowa -- University of Michigan -- University of Minnesota -- University of Missouri -- University of North Carolina -- University of North Carolina -- University of Pennsylvania -- University of Pittsburgh -- University of Washington -- University of Washington -- University of Wisconsin -- Virginia Tech University -- Yale University -- Referees En línea: http://dx.doi.org/10.1007/978-1-4614-3649-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32209 Ejemplares
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Título : Statistics of Financial Markets : An Introduction Tipo de documento: documento electrónico Autores: Jürgen Franke ; SpringerLink (Online service) ; Wolfgang Karl Härdle ; Christian Matthias Hafner Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2011 Colección: Universitext, ISSN 0172-5939 Número de páginas: XXII, 599 p. 135 illus Il.: online resource ISBN/ISSN/DL: 978-3-642-16521-4 Idioma : Inglés (eng) Palabras clave: Statistics Finance Economics, Mathematical for Business/Economics/Mathematical Finance/Insurance Quantitative Finance, general Clasificación: 51 Matemáticas Resumen: Statistics of Financial Markets offers a vivid yet concise introduction to the growing field of statistical application in finance. The reader will learn the basic methods of evaluating option contracts, analysing financial time series, selecting portfolios and managing risks making realistic assumptions of the market behaviour. The focus is both on the fundamentals of mathematical finance and financial time series analysis and on applications to given problems of financial markets, thus making the book the ideal basis for lecturers, seminars and crash courses on the topic. For the third edition the book has been updated and extensively revised. Several new aspects have been included: new chapters on long memory models, copulae and CDO valuation. Practical exercises have been added, the solutions of which are provided in the book by S. Borak, W. Härdle and B. Lopez Cabrera (2010) ISBN 978-3-642-11133-4. “Both R and Matlab Code, together with the data, can be downloaded by clicking on the Additional Information tab labeled “R and Matlab Code,” which you will find on the right-hand side of the webpage.” Nota de contenido: Option Pricing -- Statistical Models of Financial Time Series -- Selected Financial Applications -- Technical Appendix -- Appendix -- Frequently Used Notations -- Index En línea: http://dx.doi.org/10.1007/978-3-642-16521-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33395 Statistics of Financial Markets : An Introduction [documento electrónico] / Jürgen Franke ; SpringerLink (Online service) ; Wolfgang Karl Härdle ; Christian Matthias Hafner . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2011 . - XXII, 599 p. 135 illus : online resource. - (Universitext, ISSN 0172-5939) .
ISBN : 978-3-642-16521-4
Idioma : Inglés (eng)
Palabras clave: Statistics Finance Economics, Mathematical for Business/Economics/Mathematical Finance/Insurance Quantitative Finance, general Clasificación: 51 Matemáticas Resumen: Statistics of Financial Markets offers a vivid yet concise introduction to the growing field of statistical application in finance. The reader will learn the basic methods of evaluating option contracts, analysing financial time series, selecting portfolios and managing risks making realistic assumptions of the market behaviour. The focus is both on the fundamentals of mathematical finance and financial time series analysis and on applications to given problems of financial markets, thus making the book the ideal basis for lecturers, seminars and crash courses on the topic. For the third edition the book has been updated and extensively revised. Several new aspects have been included: new chapters on long memory models, copulae and CDO valuation. Practical exercises have been added, the solutions of which are provided in the book by S. Borak, W. Härdle and B. Lopez Cabrera (2010) ISBN 978-3-642-11133-4. “Both R and Matlab Code, together with the data, can be downloaded by clicking on the Additional Information tab labeled “R and Matlab Code,” which you will find on the right-hand side of the webpage.” Nota de contenido: Option Pricing -- Statistical Models of Financial Time Series -- Selected Financial Applications -- Technical Appendix -- Appendix -- Frequently Used Notations -- Index En línea: http://dx.doi.org/10.1007/978-3-642-16521-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33395 Ejemplares
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Título : Statistics of Financial Markets : An Introduction Tipo de documento: documento electrónico Autores: Jürgen Franke ; SpringerLink (Online service) ; Wolfgang Karl Härdle ; Christian Matthias Hafner Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2008 Colección: Universitext, ISSN 0172-5939 Número de páginas: XXII, 502 p Il.: online resource ISBN/ISSN/DL: 978-3-540-76272-0 Idioma : Inglés (eng) Palabras clave: Finance Economics, Mathematical Statistics Econometrics Economics for Business/Economics/Mathematical Finance/Insurance Quantitative Finance, general Clasificación: 51 Matemáticas Resumen: Statistics of Financial Markets offers a vivid yet concise introduction to the growing field of statistical applications in finance. The reader will learn the basic methods to evaluate option contracts, to analyse financial time series, to select portfolios and manage risks making realistic assumptions of the market behaviour. The focus is both on fundamentals of mathematical finance and financial time series analysis and on applications to given problems of financial markets, making the book the ideal basis for lectures, seminars and crash courses on the topic. For the second edition the book has been updated and extensively revised. Several new aspects have been included, among others a chapter on credit risk management Nota de contenido: Option Pricing -- Derivatives -- to Option Management -- Basic Concepts of Probability Theory -- Stochastic Processes in Discrete Time -- Stochastic Integrals and Differential Equations -- Black-Scholes Option Pricing Model -- Binomial Model for European Options -- American Options -- Exotic Options -- Models for the Interest Rate and Interest Rate Derivatives -- Statistical Models of Financial Time Series -- Introduction: Definitions and Concepts -- ARIMA Time Series Models -- Time Series with Stochastic Volatility -- Non-parametric Concepts for Financial Time Series -- Selected Financial Applications -- Pricing Options with Flexible Volatility Estimators -- Value at Risk and Backtesting -- Copulae and Value at Risk -- Statistics of Extreme Risks -- Neural Networks -- Volatility Risk of Option Portfolios -- Nonparametric Estimators for the Probability of Default -- Credit Risk Management En línea: http://dx.doi.org/10.1007/978-3-540-76272-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34356 Statistics of Financial Markets : An Introduction [documento electrónico] / Jürgen Franke ; SpringerLink (Online service) ; Wolfgang Karl Härdle ; Christian Matthias Hafner . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2008 . - XXII, 502 p : online resource. - (Universitext, ISSN 0172-5939) .
ISBN : 978-3-540-76272-0
Idioma : Inglés (eng)
Palabras clave: Finance Economics, Mathematical Statistics Econometrics Economics for Business/Economics/Mathematical Finance/Insurance Quantitative Finance, general Clasificación: 51 Matemáticas Resumen: Statistics of Financial Markets offers a vivid yet concise introduction to the growing field of statistical applications in finance. The reader will learn the basic methods to evaluate option contracts, to analyse financial time series, to select portfolios and manage risks making realistic assumptions of the market behaviour. The focus is both on fundamentals of mathematical finance and financial time series analysis and on applications to given problems of financial markets, making the book the ideal basis for lectures, seminars and crash courses on the topic. For the second edition the book has been updated and extensively revised. Several new aspects have been included, among others a chapter on credit risk management Nota de contenido: Option Pricing -- Derivatives -- to Option Management -- Basic Concepts of Probability Theory -- Stochastic Processes in Discrete Time -- Stochastic Integrals and Differential Equations -- Black-Scholes Option Pricing Model -- Binomial Model for European Options -- American Options -- Exotic Options -- Models for the Interest Rate and Interest Rate Derivatives -- Statistical Models of Financial Time Series -- Introduction: Definitions and Concepts -- ARIMA Time Series Models -- Time Series with Stochastic Volatility -- Non-parametric Concepts for Financial Time Series -- Selected Financial Applications -- Pricing Options with Flexible Volatility Estimators -- Value at Risk and Backtesting -- Copulae and Value at Risk -- Statistics of Extreme Risks -- Neural Networks -- Volatility Risk of Option Portfolios -- Nonparametric Estimators for the Probability of Default -- Credit Risk Management En línea: http://dx.doi.org/10.1007/978-3-540-76272-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34356 Ejemplares
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Título : Statistics and Measurement Concepts with OpenStat Tipo de documento: documento electrónico Autores: William Miller ; SpringerLink (Online service) Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Número de páginas: XIV, 237 p Il.: online resource ISBN/ISSN/DL: 978-1-4614-5743-5 Idioma : Inglés (eng) Palabras clave: Statistics Statistics, general for Social Science, Behavorial Education, Public Policy, and Law Statistical Theory Methods Clasificación: 51 Matemáticas Resumen: This statistics book is designed for use with the OpenStat statistics program, an open-source software developed by William Miller. This book and the corresponding free program covers a broad spectrum of statistical theory and techniques. OpenStat users are researchers and students in the social sciences, education, psychology, nursing and medicine who bene?t from the hands on approach to Statistics. During and upon completion of courses in Statistics or measurement, students and future researchers need a low cost computer program available to them, and OpenStat ?lls this void. The software is used in Statistics courses around the world with over 50,000 downloads per year. Also available is a user’s manual that covers applications of the OpenStat software, including measurement, ANOVA, regression analyses, simulation, product-moment and partial correlations, and logistic regression. This book and the companion User’s Manual are important learning tools that explain the statistics behind the many analyses possible with the program and demonstrate these analyses. En línea: http://dx.doi.org/10.1007/978-1-4614-5743-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32267 Statistics and Measurement Concepts with OpenStat [documento electrónico] / William Miller ; SpringerLink (Online service) . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XIV, 237 p : online resource.
ISBN : 978-1-4614-5743-5
Idioma : Inglés (eng)
Palabras clave: Statistics Statistics, general for Social Science, Behavorial Education, Public Policy, and Law Statistical Theory Methods Clasificación: 51 Matemáticas Resumen: This statistics book is designed for use with the OpenStat statistics program, an open-source software developed by William Miller. This book and the corresponding free program covers a broad spectrum of statistical theory and techniques. OpenStat users are researchers and students in the social sciences, education, psychology, nursing and medicine who bene?t from the hands on approach to Statistics. During and upon completion of courses in Statistics or measurement, students and future researchers need a low cost computer program available to them, and OpenStat ?lls this void. The software is used in Statistics courses around the world with over 50,000 downloads per year. Also available is a user’s manual that covers applications of the OpenStat software, including measurement, ANOVA, regression analyses, simulation, product-moment and partial correlations, and logistic regression. This book and the companion User’s Manual are important learning tools that explain the statistics behind the many analyses possible with the program and demonstrate these analyses. En línea: http://dx.doi.org/10.1007/978-1-4614-5743-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32267 Ejemplares
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