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Durbin-Watson Tests for Serial Correlation in Regressions with Missing Observations

Durbin-Watson Tests for Serial Correlation in Regressions with Missing Observations PDF Author: Jean-Marie Dufour
Publisher:
ISBN:
Category : Correlation (Statistics)
Languages : en
Pages : 46

Book Description


Durbin-Watson Tests for Serial Correlation in Regressions with Missing Observations

Durbin-Watson Tests for Serial Correlation in Regressions with Missing Observations PDF Author: Jean-Marie Dufour
Publisher:
ISBN:
Category : Correlation (Statistics)
Languages : en
Pages : 46

Book Description


Applied Linear Statistical Models

Applied Linear Statistical Models PDF Author: Michael H. Kutner
Publisher: McGraw-Hill/Irwin
ISBN: 9780072386882
Category : Mathematics
Languages : en
Pages : 1396

Book Description
Linear regression with one predictor variable; Inferences in regression and correlation analysis; Diagnosticis and remedial measures; Simultaneous inferences and other topics in regression analysis; Matrix approach to simple linear regression analysis; Multiple linear regression; Nonlinear regression; Design and analysis of single-factor studies; Multi-factor studies; Specialized study designs.

Specification Analysis in the Linear Model

Specification Analysis in the Linear Model PDF Author: Maxwell L. King
Publisher: Routledge
ISBN: 1351140663
Category : Business & Economics
Languages : en
Pages : 550

Book Description
Originally published in 1987. This collection of original papers deals with various issues of specification in the context of the linear statistical model. The volume honours the early econometric work of Donald Cochrane, late Dean of Economics and Politics at Monash University in Australia. The chapters focus on problems associated with autocorrelation of the error term in the linear regression model and include appraisals of early work on this topic by Cochrane and Orcutt. The book includes an extensive survey of autocorrelation tests; some exact finite-sample tests; and some issues in preliminary test estimation. A wide range of other specification issues is discussed, including the implications of random regressors for Bayesian prediction; modelling with joint conditional probability functions; and results from duality theory. There is a major survey chapter dealing with specification tests for non-nested models, and some of the applications discussed by the contributors deal with the British National Accounts and with Australian financial and housing markets.

Advanced Econometric Methods

Advanced Econometric Methods PDF Author: Thomas B. Fomby
Publisher: Springer Science & Business Media
ISBN: 1441987460
Category : Business & Economics
Languages : en
Pages : 637

Book Description
This book had its conception in 1975in a friendly tavern near the School of Businessand PublicAdministration at the UniversityofMissouri-Columbia. Two of the authors (Fomby and Hill) were graduate students of the third (Johnson), and were (and are) concerned about teaching econometrics effectively at the graduate level. We decided then to write a book to serve as a comprehensive text for graduate econometrics. Generally, the material included in the bookand itsorganization have been governed by the question, " Howcould the subject be best presented in a graduate class?" For content, this has meant that we have tried to cover " all the bases " and yet have not attempted to be encyclopedic. The intended purpose has also affected the levelofmathematical rigor. We have tended to prove only those results that are basic and/or relatively straightforward. Proofs that would demand inordinant amounts of class time have simply been referenced. The book is intended for a two-semester course and paced to admit more extensive treatment of areas of specific interest to the instructor and students. We have great confidence in the ability, industry, and persistence of graduate students in ferreting out and understanding the omitted proofs and results. In the end, this is how one gains maturity and a fuller appreciation for the subject in any case. It is assumed that the readers of the book will have had an econometric methods course, using texts like J. Johnston's Econometric Methods, 2nd ed.

Chemometrics in Spectroscopy

Chemometrics in Spectroscopy PDF Author: Howard Mark
Publisher: Academic Press
ISBN: 0128053305
Category : Science
Languages : en
Pages : 1092

Book Description
Chemometrics in Spectroscopy, Second Edition, provides the reader with the methodology crucial to apply chemometrics to real world data. It allows scientists using spectroscopic instruments to find explanations and solutions to their problems when they are confronted with unexpected and unexplained results. Unlike other books on these topics, it explains the root causes of the phenomena that lead to these results. While books on NIR spectroscopy sometimes cover basic chemometrics, they do not mention many of the advanced topics this book discusses. In addition, traditional chemometrics books do not cover spectroscopy to the point of understanding the basis for the underlying phenomena. The second edition has been expanded with 50% more content covering advances in the field that have occurred in the last 10 years, including calibration transfer, units of measure in spectroscopy, principal components, clinical data reporting, classical least squares, regression models, spectral transfer, and more. - Written in the column format of the authors' online magazine - Presents topical and important chapters for those involved in analysis work, both research and routine - Focuses on practical issues in the implementation of chemometrics for NIR Spectroscopy - Includes a companion website with 350 additional color figures that illustrate CLS concepts

Applied Regression Analysis

Applied Regression Analysis PDF Author: Norman R. Draper
Publisher: John Wiley & Sons
ISBN: 1118625684
Category : Mathematics
Languages : en
Pages : 736

Book Description
An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regression analysis. Assuming only a basic knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear and nonlinear regression models, using small and large data sets, with pocket calculators or computers. This Third Edition features separate chapters on multicollinearity, generalized linear models, mixture ingredients, geometry of regression, robust regression, and resampling procedures. Extensive support materials include sets of carefully designed exercises with full or partial solutions and a series of true/false questions with answers. All data sets used in both the text and the exercises can be found on the companion disk at the back of the book. For analysts, researchers, and students in university, industrial, and government courses on regression, this text is an excellent introduction to the subject and an efficient means of learning how to use a valuable analytical tool. It will also prove an invaluable reference resource for applied scientists and statisticians.

Testing for Autocorrelation in Dynamic Linear Models

Testing for Autocorrelation in Dynamic Linear Models PDF Author: Trevor Stanley Breusch
Publisher:
ISBN: 9780909541538
Category : Econometrics
Languages : en
Pages : 68

Book Description


Routledge Library Editions: Econometrics

Routledge Library Editions: Econometrics PDF Author: Various
Publisher: Routledge
ISBN: 1351140116
Category : Business & Economics
Languages : en
Pages : 5228

Book Description
Reissuing works originally published between 1929 and 1991, this collection of 17 volumes presents a variety of considerations on Econometrics, from introductions to specific research works on particular industries. With some volumes on models for macroeconomics and international economies, this is a widely interesting set of economic texts. Input/Output methods and databases are looked at in some volumes while others look at Bayesian techniques, linear and non-linear models. This set will be of use to those in industry and business studies, geography and sociology as well as politics and economics.

Quantitative Investment Analysis

Quantitative Investment Analysis PDF Author: Richard A. DeFusco
Publisher: John Wiley & Sons
ISBN: 1118044789
Category : Business & Economics
Languages : en
Pages : 576

Book Description
In the Second Edition of Quantitative Investment Analysis, financial experts Richard DeFusco, Dennis McLeavey, Jerald Pinto, and David Runkle outline the tools and techniques needed to understand and apply quantitative methods to today's investment process. Now, in Quantitative Investment Analysis Workbook, Second Edition, they offer you a wealth of practical information and exercises that will further enhance your understanding of this discipline. This essential study guide--which parallels the main book chapter by chapter--contains challenging problems and a complete set of solutions as well as concise learning outcome statements and summary overviews. If you're looking to successfully navigate today's dynamic investment environment, the lessons found within these pages can show you how. Topics reviewed include: The time value of money Discounted cash flow Probability distributions Sampling and estimation Hypothesis testing Multiple regression Time-series analysis And much more

Quantitative Investment Analysis

Quantitative Investment Analysis PDF Author: CFA Institute
Publisher: John Wiley & Sons
ISBN: 1119743656
Category : Business & Economics
Languages : en
Pages : 944

Book Description
Whether you are a novice investor or an experienced practitioner, Quantitative Investment Analysis, 4th Edition has something for you. Part of the CFA Institute Investment Series, this authoritative guide is relevant the world over and will facilitate your mastery of quantitative methods and their application in todays investment process. This updated edition provides all the statistical tools and latest information you need to be a confident and knowledgeable investor. This edition expands coverage of Machine Learning algorithms and the role of Big Data in an investment context along with capstone chapters in applying these techniques to factor modeling, risk management and backtesting and simulation in investment strategies. The authors go to great lengths to ensure an even treatment of subject matter, consistency of mathematical notation, and continuity of topic coverage that is critical to the learning process. Well suited for motivated individuals who learn on their own, as well as a general reference, this complete resource delivers clear, example-driven coverage of a wide range of quantitative methods. Inside you'll find: Learning outcome statements (LOS) specifying the objective of each chapter A diverse variety of investment-oriented examples both aligned with the LOS and reflecting the realities of todays investment world A wealth of practice problems, charts, tables, and graphs to clarify and reinforce the concepts and tools of quantitative investment management You can choose to sharpen your skills by furthering your hands-on experience in the Quantitative Investment Analysis Workbook, 4th Edition (sold separately)—an essential guide containing learning outcomes and summary overview sections, along with challenging problems and solutions.