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Estimating The Autocorrelated Error Model With Small Sample Size
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Author :R. A. (Richard Arthur) Holmes Publisher :Burnaby, B.C. : Simon Fraser University, Faculty of Business Administration ISBN 13 : Total Pages :40 pages Book Rating :4.:/5 (159 download)
Book Synopsis Estimating the Autocorrelated Error Model with Small Sample Size by : R. A. (Richard Arthur) Holmes
Download or read book Estimating the Autocorrelated Error Model with Small Sample Size written by R. A. (Richard Arthur) Holmes and published by Burnaby, B.C. : Simon Fraser University, Faculty of Business Administration. This book was released on 1983 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Estimating the Autocorrelated Error Model with Trended Data, Further Results by : Rolla Edward Park
Download or read book Estimating the Autocorrelated Error Model with Trended Data, Further Results written by Rolla Edward Park and published by . This book was released on 1979 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Monte Carlo study is made of the small sample properties of various estimators of the linear regression model with first-order autocorrelated errors. When independent variables are trended, estimators using T transformed observations (Prais-Winsten) are much more efficient than those using T-1 (Cochrane-Orcutt). The best of the feasible estimators is iterated Prais-Winsten using a sum-of-squared-error minimizing estimate of the autocorrelation coefficient rho. None of the feasible estimators performs well in hypothesis testing; all seriously underestimate standard errors, making estimated coefficients appear to be much more significant than they actually are. (Author).
Book Synopsis Estimating the Autocorrelated Error Model with Trended Data by : Rolla Edward Park
Download or read book Estimating the Autocorrelated Error Model with Trended Data written by Rolla Edward Park and published by . This book was released on 1978 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Monte Carlo study is made of the small sample properties of various estimators of the linear regression model with first-order autocorrelated errors. When independent variables are trended, estimators using T transformed observations (Prais-Winsten) are much more efficient than those using T-1 (Cochrane-Orcutt). The best of the feasible estimators is iterated Prais-Winsten using a sum-of-squared-error minimizing estimate of the autocorrelation coefficient rho. None of the feasible estimators performs well in hypothesis testing; all seriously underestimate standard errors, making estimated coefficients appear to be much more significant than they actually are. (Author).
Book Synopsis Estimating Deterministic Trends in the Presence of Serially Correlated Errors by : Eugene Canjels
Download or read book Estimating Deterministic Trends in the Presence of Serially Correlated Errors written by Eugene Canjels and published by . This book was released on 1994 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper studies the problems of estimation and inference in the linear trend model: yt=̉+þt+ut, where ut follows an autoregressive process with largest root þ, and þ is the parameter of interest. We contrast asymptotic results for the cases þþþ
Book Synopsis New Directions in Spatial Econometrics by : Luc Anselin
Download or read book New Directions in Spatial Econometrics written by Luc Anselin and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: The promising new directions for research and applications described here include alternative model specifications, estimators and tests for regression models and new perspectives on dealing with spatial effects in models with limited dependent variables and space-time data.
Book Synopsis Applied Linear Statistical Models by : Michael H. Kutner
Download or read book Applied Linear Statistical Models written by Michael H. Kutner and published by McGraw-Hill/Irwin. This book was released on 2005 with total page 1396 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Introductory Econometrics by : Humberto Barreto
Download or read book Introductory Econometrics written by Humberto Barreto and published by Cambridge University Press. This book was released on 2006 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly accessible and innovative text with supporting web site uses Excel (R) to teach the core concepts of econometrics without advanced mathematics. It enables students to use Monte Carlo simulations in order to understand the data generating process and sampling distribution. Intelligent repetition of concrete examples effectively conveys the properties of the ordinary least squares (OLS) estimator and the nature of heteroskedasticity and autocorrelation. Coverage includes omitted variables, binary response models, basic time series, and simultaneous equations. The authors teach students how to construct their own real-world data sets drawn from the internet, which they can analyze with Excel (R) or with other econometric software. The accompanying web site with text support can be found at www.wabash.edu/econometrics.
Book Synopsis Quantile Regression by : Cristina Davino
Download or read book Quantile Regression written by Cristina Davino and published by John Wiley & Sons. This book was released on 2013-12-31 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to the implementation and interpretation of Quantile Regression models This book explores the theory and numerous applications of quantile regression, offering empirical data analysis as well as the software tools to implement the methods. The main focus of this book is to provide the reader with a comprehensive description of the main issues concerning quantile regression; these include basic modeling, geometrical interpretation, estimation and inference for quantile regression, as well as issues on validity of the model, diagnostic tools. Each methodological aspect is explored and followed by applications using real data. Quantile Regression: Presents a complete treatment of quantile regression methods, including, estimation, inference issues and application of methods. Delivers a balance between methodolgy and application Offers an overview of the recent developments in the quantile regression framework and why to use quantile regression in a variety of areas such as economics, finance and computing. Features a supporting website (www.wiley.com/go/quantile_regression) hosting datasets along with R, Stata and SAS software code. Researchers and PhD students in the field of statistics, economics, econometrics, social and environmental science and chemistry will benefit from this book.
Download or read book NBS Special Publication written by and published by . This book was released on 1970 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Estimation of Autocorrelated Error Components by : Lung-Fei Lee
Download or read book Estimation of Autocorrelated Error Components written by Lung-Fei Lee and published by . This book was released on 1979 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advanced Statistics for the Behavioral Sciences by : Jonathon D. Brown
Download or read book Advanced Statistics for the Behavioral Sciences written by Jonathon D. Brown and published by Springer. This book was released on 2019-04-30 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book demonstrates the importance of computer-generated statistical analyses in behavioral science research, particularly those using the R software environment. Statistical methods are being increasingly developed and refined by computer scientists, with expertise in writing efficient and elegant computer code. Unfortunately, many researchers lack this programming background, leaving them to accept on faith the black-box output that emerges from the sophisticated statistical models they frequently use. Building on the author’s previous volume, Linear Models in Matrix Form, this text bridges the gap between computer science and research application, providing easy-to-follow computer code for many statistical analyses using the R software environment. The text opens with a foundational section on linear algebra, then covers a variety of advanced topics, including robust regression, model selection based on bias and efficiency, nonlinear models and optimization routines, generalized linear models, and survival and time-series analysis. Each section concludes with a presentation of the computer code used to illuminate the analysis, as well as pointers to packages in R that can be used for similar analyses and nonstandard cases. The accessible code and breadth of topics make this book an ideal tool for graduate students or researchers in the behavioral sciences who are interested in performing advanced statistical analyses without having a sophisticated background in computer science and mathematics.
Book Synopsis A Guide to Econometrics by : Peter Kennedy
Download or read book A Guide to Econometrics written by Peter Kennedy and published by John Wiley & Sons. This book was released on 2008-02-19 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dieses etwas andere Lehrbuch bietet keine vorgefertigten Rezepte und Problemlösungen, sondern eine kritische Diskussion ökonometrischer Modelle und Methoden: voller überraschender Fragen, skeptisch, humorvoll und anwendungsorientiert. Sein Erfolg gibt ihm Recht.
Book Synopsis Prevention of Substance Use by : Zili Sloboda
Download or read book Prevention of Substance Use written by Zili Sloboda and published by Springer. This book was released on 2019-03-01 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides a serious examination of substance use prevention research and practice as components of the continuum from health promotion through to prevention and health care in sub-groups and in the general population. Extensive background chapters provide portals into the evolution of the field and the cutting edge research being conducted on the etiology, epidemiology, and genetics of substance use and abuse. The global nature and health burden of substance use and abuse incorporates assessments of the serious problems related to the prevention of legal substance use (i.e., alcohol and tobacco) and how lessons learned in those arenas may apply to the prevention of illicit substance use. Research and practice chapters detail a range of effective evidence-based programs, policies and practices and emerging prevention interventions from the literatures on the family and school contexts in addition to innovations involving mindfulness and the social media. Continued advancements in substance use prevention research, practice, training, and policy are projected. Included among topics addressed are: Progression of substance use to abuse and substance use disorders The tobacco prevention experience: a model for substance use prevention? Policy interventions: intended and unintended influences on substance use Qualitative methods in the study of psychoactive substance use Use of media and social media in the prevention of substance use Supporting prevention science and prevention research internationally The array of research accomplishments and real-world methods presented in Prevention of Substance Use merits the attention of a variety of researchers and practitioners, including public health professionals, health psychologists, and epidemiologists.
Book Synopsis Longitudinal Data with Serial Correlation by : Richard .H. Jones
Download or read book Longitudinal Data with Serial Correlation written by Richard .H. Jones and published by CRC Press. This book was released on 2018-05-04 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph is written for students at the graduate level in biostatistics, statistics or other disciplines that collect longitudinal data. It concentrates on the state space approach that provides a convenient way to compute likelihoods using the Kalman filter.
Book Synopsis Macroeconomic Analysis by : David Currie
Download or read book Macroeconomic Analysis written by David Currie and published by Routledge. This book was released on 2015-09-16 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bringing together the proceedings of the 1979 and 1980 annual conferences of the Association of University Teachers of Economics the papers in this volume discuss: the effect of social security on private saving; an analysis of aggregate consumer behaviour; the philosophy and objectives of econometrics and other topics in macroeconomic and econometric analysis.
Book Synopsis Encyclopedia of Epidemiology by : Sarah Boslaugh
Download or read book Encyclopedia of Epidemiology written by Sarah Boslaugh and published by SAGE. This book was released on 2008 with total page 1241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents information from the field of epidemiology in a less technical, more accessible format. Covers major topics in epidemiology, from risk ratios to case-control studies to mediating and moderating variables, and more. Relevant topics from related fields such as biostatistics and health economics are also included.
Book Synopsis Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach by : Robert P. Haining
Download or read book Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach written by Robert P. Haining and published by CRC Press. This book was released on 2020-01-27 with total page 641 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with spatial and spatial-temporal data. It assumes a grounding in statistical theory up to the standard linear regression model. The book compares both hierarchical and spatial econometric modelling, providing both a reference and a teaching text with exercises in each chapter. The book provides a fully Bayesian, self-contained, treatment of the underlying statistical theory, with chapters dedicated to substantive applications. The book includes WinBUGS code and R code and all datasets are available online. Part I covers fundamental issues arising when modelling spatial and spatial-temporal data. Part II focuses on modelling cross-sectional spatial data and begins by describing exploratory methods that help guide the modelling process. There are then two theoretical chapters on Bayesian models and a chapter of applications. Two chapters follow on spatial econometric modelling, one describing different models, the other substantive applications. Part III discusses modelling spatial-temporal data, first introducing models for time series data. Exploratory methods for detecting different types of space-time interaction are presented followed by two chapters on the theory of space-time separable (without space-time interaction) and inseparable (with space-time interaction) models. An applications chapter includes: the evaluation of a policy intervention; analysing the temporal dynamics of crime hotspots; chronic disease surveillance; and testing for evidence of spatial spillovers in the spread of an infectious disease. A final chapter suggests some future directions and challenges.
