Mathematical Statistics for Applied Econometrics

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Author :
Publisher : CRC Press
ISBN 13 : 1466594098
Total Pages : 366 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Mathematical Statistics for Applied Econometrics by : Charles B Moss

Download or read book Mathematical Statistics for Applied Econometrics written by Charles B Moss and published by CRC Press. This book was released on 2014-10-16 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introductory Econometrics Text Mathematical Statistics for Applied Econometrics covers the basics of statistical inference in support of a subsequent course on classical econometrics. The book shows students how mathematical statistics concepts form the basis of econometric formulations. It also helps them think about statistics as more than a toolbox of techniques. Uses Computer Systems to Simplify Computation The text explores the unifying themes involved in quantifying sample information to make inferences. After developing the necessary probability theory, it presents the concepts of estimation, such as convergence, point estimators, confidence intervals, and hypothesis tests. The text then shifts from a general development of mathematical statistics to focus on applications particularly popular in economics. It delves into matrix analysis, linear models, and nonlinear econometric techniques. Students Understand the Reasons for the Results Avoiding a cookbook approach to econometrics, this textbook develops students’ theoretical understanding of statistical tools and econometric applications. It provides them with the foundation for further econometric studies.

Mathematical Statistics for Applied Econometrics

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Author :
Publisher : Chapman & Hall/CRC
ISBN 13 : 9781466594128
Total Pages : pages
Book Rating : 4.5/5 (941 download)

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Book Synopsis Mathematical Statistics for Applied Econometrics by : Charles Britt Moss

Download or read book Mathematical Statistics for Applied Econometrics written by Charles Britt Moss and published by Chapman & Hall/CRC. This book was released on 2014-11 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: A solutions manual to accompany 'Mathematical Statistics for Applied Econometrics', an introductory econometrics text.

Mathematical Statistics for Economics and Business

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Publisher : Springer Science & Business Media
ISBN 13 : 1461450225
Total Pages : 777 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Mathematical Statistics for Economics and Business by : Ron C. Mittelhammer

Download or read book Mathematical Statistics for Economics and Business written by Ron C. Mittelhammer and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 777 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Statistics for Economics and Business, Second Edition, provides a comprehensive introduction to the principles of mathematical statistics which underpin statistical analyses in the fields of economics, business, and econometrics. The selection of topics in this textbook is designed to provide students with a conceptual foundation that will facilitate a substantial understanding of statistical applications in these subjects. This new edition has been updated throughout and now also includes a downloadable Student Answer Manual containing detailed solutions to half of the over 300 end-of-chapter problems. After introducing the concepts of probability, random variables, and probability density functions, the author develops the key concepts of mathematical statistics, most notably: expectation, sampling, asymptotics, and the main families of distributions. The latter half of the book is then devoted to the theories of estimation and hypothesis testing with associated examples and problems that indicate their wide applicability in economics and business. Features of the new edition include: a reorganization of topic flow and presentation to facilitate reading and understanding; inclusion of additional topics of relevance to statistics and econometric applications; a more streamlined and simple-to-understand notation for multiple integration and multiple summation over general sets or vector arguments; updated examples; new end-of-chapter problems; a solution manual for students; a comprehensive answer manual for instructors; and a theorem and definition map. This book has evolved from numerous graduate courses in mathematical statistics and econometrics taught by the author, and will be ideal for students beginning graduate study as well as for advanced undergraduates.

Introduction to Statistics and Econometrics

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Publisher : Harvard University Press
ISBN 13 : 9780674462250
Total Pages : 392 pages
Book Rating : 4.4/5 (622 download)

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Book Synopsis Introduction to Statistics and Econometrics by : Takeshi Amemiya

Download or read book Introduction to Statistics and Econometrics written by Takeshi Amemiya and published by Harvard University Press. This book was released on 1994 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comic Amy Schumer performs a stand-up set in San Francisco devoted to various aspects of her sex life and her feelings about her own body. ~ Perry Seibert, Rovi

Mathematics for Econometrics

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1475716915
Total Pages : 142 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Mathematics for Econometrics by : P.J. Dhrymes

Download or read book Mathematics for Econometrics written by P.J. Dhrymes and published by Springer Science & Business Media. This book was released on 2013-04-18 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: This booklet was begun as an appendix to Introductory Econometrics. As it progressed, requirements of consistency and completeness of coverage seemed to make it inordinately long to serve merely as an appendix, and thus it appears as a work in its own right. Its purpose is not to give rigorous instruction in mathematics. Rather it aims at filling the gaps in the typical student's mathematical training, to the extent relevant for the study of econometrics. Thus, it contains a collection of mathematical results employed at various stages of Introductory Econometrics. More generally, however, it would be a useful adjunct and reference to students of econometrics, no matter what text is being employed. In the vast majority of cases, proofs are provided and there is a modicum of verbal discussion of certain mathematical results, the objective being to reinforce the reader's understanding of the formalities. In certain instances, however, when proofs are too cumbersome, or complex, or when they are too obvious, they are omitted.

Mathematical Statistics for Economics and Business

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 9780387945873
Total Pages : 750 pages
Book Rating : 4.9/5 (458 download)

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Book Synopsis Mathematical Statistics for Economics and Business by : Ron C. Mittelhammer

Download or read book Mathematical Statistics for Economics and Business written by Ron C. Mittelhammer and published by Springer Science & Business Media. This book was released on 1999-05-27 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to the principles underlying statistical analyses in the fields of economics, business, and econometrics. The selection of topics is specifically designed to provide students with a substantial conceptual foundation, from which to achieve a thorough and mature understanding of statistical applications within the fields. After introducing the concepts of probability, random variables, and probability density functions, the author develops the key concepts of mathematical statistics, notably: expectation, sampling, asymptotics, and the main families of distributions. The latter half of the book is then devoted to the theories of estimation and hypothesis testing with associated examples and problems that indicate their wide applicability in economics and business. Includes hundreds of exercises and problems.

Measurement Error Models

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Publisher : John Wiley & Sons
ISBN 13 : 0470317337
Total Pages : 474 pages
Book Rating : 4.4/5 (73 download)

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Book Synopsis Measurement Error Models by : Wayne A. Fuller

Download or read book Measurement Error Models written by Wayne A. Fuller and published by John Wiley & Sons. This book was released on 2009-09-25 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "The effort of Professor Fuller is commendable . . . [the book] provides a complete treatment of an important and frequently ignored topic. Those who work with measurement error models will find it valuable. It is the fundamental book on the subject, and statisticians will benefit from adding this book to their collection or to university or departmental libraries." -Biometrics "Given the large and diverse literature on measurement error/errors-in-variables problems, Fuller's book is most welcome. Anyone with an interest in the subject should certainly have this book." -Journal of the American Statistical Association "The author is to be commended for providing a complete presentation of a very important topic. Statisticians working with measurement error problems will benefit from adding this book to their collection." -Technometrics " . . . this book is a remarkable achievement and the product of impressive top-grade scholarly work." -Journal of Applied Econometrics Measurement Error Models offers coverage of estimation for situations where the model variables are observed subject to measurement error. Regression models are included with errors in the variables, latent variable models, and factor models. Results from several areas of application are discussed, including recent results for nonlinear models and for models with unequal variances. The estimation of true values for the fixed model, prediction of true values under the random model, model checks, and the analysis of residuals are addressed, and in addition, procedures are illustrated with data drawn from nearly twenty real data sets.

Financial Econometrics, Mathematics and Statistics

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Author :
Publisher : Springer
ISBN 13 : 1493994298
Total Pages : 655 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Financial Econometrics, Mathematics and Statistics by : Cheng-Few Lee

Download or read book Financial Econometrics, Mathematics and Statistics written by Cheng-Few Lee and published by Springer. This book was released on 2019-06-03 with total page 655 pages. Available in PDF, EPUB and Kindle. Book excerpt: This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research. Financial Econometrics, Mathematics, and Statistics introduces tools and methods important for both finance and accounting that assist with asset pricing, corporate finance, options and futures, and conducting financial accounting research. Divided into four parts, the text begins with topics related to regression and financial econometrics. Subsequent sections describe time-series analyses; the role of binomial, multi-nomial, and log normal distributions in option pricing models; and the application of statistics analyses to risk management. The real-world applications and problems offer students a unique insight into such topics as heteroskedasticity, regression, simultaneous equation models, panel data analysis, time series analysis, and generalized method of moments. Written by leading academics in the quantitative finance field, allows readers to implement the principles behind financial econometrics and statistics through real-world applications and problem sets. This textbook will appeal to a less-served market of upper-undergraduate and graduate students in finance, economics, and statistics. ​

Introduction to the Mathematical and Statistical Foundations of Econometrics

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Publisher : Cambridge University Press
ISBN 13 : 9780521542241
Total Pages : 356 pages
Book Rating : 4.5/5 (422 download)

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Book Synopsis Introduction to the Mathematical and Statistical Foundations of Econometrics by : Herman J. Bierens

Download or read book Introduction to the Mathematical and Statistical Foundations of Econometrics written by Herman J. Bierens and published by Cambridge University Press. This book was released on 2004-12-20 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for use in a rigorous introductory PhD level course in econometrics.

Applied Econometrics with R

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Publisher : Springer Science & Business Media
ISBN 13 : 0387773185
Total Pages : 229 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Applied Econometrics with R by : Christian Kleiber

Download or read book Applied Econometrics with R written by Christian Kleiber and published by Springer Science & Business Media. This book was released on 2008-12-10 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Bell Laboratories since the late 1970s. The R project was initiated by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand, in the early 1990s, and has been developed by an international team since mid-1997. Historically, econometricians have favored other computing environments, some of which have fallen by the wayside, and also a variety of packages with canned routines. We believe that R has great potential in econometrics, both for research and for teaching. There are at least three reasons for this: (1) R is mostly platform independent and runs on Microsoft Windows, the Mac family of operating systems, and various ?avors of Unix/Linux, and also on some more exotic platforms. (2) R is free software that can be downloaded and installed at no cost from a family of mirror sites around the globe, the Comprehensive R Archive Network (CRAN); hence students can easily install it on their own machines. (3) R is open-source software, so that the full source code is available and can be inspected to understand what it really does, learn from it, and modify and extend it. We also like to think that platform independence and the open-source philosophy make R an ideal environment for reproducible econometric research.

Stochastic Models, Statistics and Their Applications

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Publisher : Springer Nature
ISBN 13 : 3030286657
Total Pages : 450 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Stochastic Models, Statistics and Their Applications by : Ansgar Steland

Download or read book Stochastic Models, Statistics and Their Applications written by Ansgar Steland and published by Springer Nature. This book was released on 2019-10-15 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents selected and peer-reviewed contributions from the 14th Workshop on Stochastic Models, Statistics and Their Applications, held in Dresden, Germany, on March 6-8, 2019. Addressing the needs of theoretical and applied researchers alike, the contributions provide an overview of the latest advances and trends in the areas of mathematical statistics and applied probability, and their applications to high-dimensional statistics, econometrics and time series analysis, statistics for stochastic processes, statistical machine learning, big data and data science, random matrix theory, quality control, change-point analysis and detection, finance, copulas, survival analysis and reliability, sequential experiments, empirical processes, and microsimulations. As the book demonstrates, stochastic models and related statistical procedures and algorithms are essential to more comprehensively understanding and solving present-day problems arising in e.g. the natural sciences, machine learning, data science, engineering, image analysis, genetics, econometrics and finance.

Econometrics

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Publisher : New York ; Toronto : J. Wiley
ISBN 13 :
Total Pages : 488 pages
Book Rating : 4.:/5 (89 download)

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Book Synopsis Econometrics by : Ronald J. Wonnacott

Download or read book Econometrics written by Ronald J. Wonnacott and published by New York ; Toronto : J. Wiley. This book was released on 1970 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elementary econometrics; More advanced econometrics.

The Practice of Econometric Theory

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Publisher : Springer Science & Business Media
ISBN 13 : 3540755713
Total Pages : 317 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis The Practice of Econometric Theory by : Charles G. Renfro

Download or read book The Practice of Econometric Theory written by Charles G. Renfro and published by Springer Science & Business Media. This book was released on 2009-06-29 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Econometric theory, as presented in textbooks and the econometric literature generally, is a somewhat disparate collection of findings. Its essential nature is to be a set of demonstrated results that increase over time, each logically based on a specific set of axioms or assumptions, yet at every moment, rather than a finished work, these inevitably form an incomplete body of knowledge. The practice of econometric theory consists of selecting from, applying, and evaluating this literature, so as to test its applicability and range. The creation, development, and use of computer software has led applied economic research into a new age. This book describes the history of econometric computation from 1950 to the present day, based upon an interactive survey involving the collaboration of the many econometricians who have designed and developed this software. It identifies each of the econometric software packages that are made available to and used by economists and econometricians worldwide.

The Algebra of Econometrics

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Publisher :
ISBN 13 : 9780835767095
Total Pages : 0 pages
Book Rating : 4.7/5 (67 download)

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Book Synopsis The Algebra of Econometrics by : D. S. G. Pollock

Download or read book The Algebra of Econometrics written by D. S. G. Pollock and published by . This book was released on 1979 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Statistical Theory of Linear Systems

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Publisher : SIAM
ISBN 13 : 1611972183
Total Pages : 418 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis The Statistical Theory of Linear Systems by : E. J. Hannan

Download or read book The Statistical Theory of Linear Systems written by E. J. Hannan and published by SIAM. This book was released on 2012-05-31 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published: New York: Wiley, c1988.

Probability and Statistics for Economists

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Publisher : Princeton University Press
ISBN 13 : 0691236143
Total Pages : 417 pages
Book Rating : 4.6/5 (912 download)

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Book Synopsis Probability and Statistics for Economists by : Bruce Hansen

Download or read book Probability and Statistics for Economists written by Bruce Hansen and published by Princeton University Press. This book was released on 2022-06-28 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and up-to-date introduction to the mathematics that all economics students need to know Probability theory is the quantitative language used to handle uncertainty and is the foundation of modern statistics. Probability and Statistics for Economists provides graduate and PhD students with an essential introduction to mathematical probability and statistical theory, which are the basis of the methods used in econometrics. This incisive textbook teaches fundamental concepts, emphasizes modern, real-world applications, and gives students an intuitive understanding of the mathematics that every economist needs to know. Covers probability and statistics with mathematical rigor while emphasizing intuitive explanations that are accessible to economics students of all backgrounds Discusses random variables, parametric and multivariate distributions, sampling, the law of large numbers, central limit theory, maximum likelihood estimation, numerical optimization, hypothesis testing, and more Features hundreds of exercises that enable students to learn by doing Includes an in-depth appendix summarizing important mathematical results as well as a wealth of real-world examples Can serve as a core textbook for a first-semester PhD course in econometrics and as a companion book to Bruce E. Hansen’s Econometrics Also an invaluable reference for researchers and practitioners

Applied Nonparametric Econometrics

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Publisher : Cambridge University Press
ISBN 13 : 110701025X
Total Pages : 381 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Applied Nonparametric Econometrics by : Daniel J. Henderson

Download or read book Applied Nonparametric Econometrics written by Daniel J. Henderson and published by Cambridge University Press. This book was released on 2015-01-19 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances in nonparametric theory ignores the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical nonparametric econometricians. It discusses in depth, and in terms that someone with only one year of graduate econometrics can understand, basic to advanced nonparametric methods. The analysis starts with density estimation and motivates the procedures through methods that should be familiar to the reader. It then moves on to kernel regression, estimation with discrete data, and advanced methods such as estimation with panel data and instrumental variables models. The book pays close attention to the issues that arise with programming, computing speed, and application. In each chapter, the methods discussed are applied to actual data, paying attention to presentation of results and potential pitfalls.