Multiple Regression and Beyond, Keith

Название: Multiple Regression and Beyond
ISBN: 1292027657 ISBN-13(EAN): 9781292027654
Издательство: Pearson Education
Цена: 33440 T
Наличие на складе: Невозможна поставка.
Описание: This book is designed to provide a conceptually-oriented introduction to multiple regression. It is divided into two main parts: the author concentrates on multiple regression analysis in the first part and structural equation modeling in the second part.

Автор: Keith
Название: Multiple Regression and Beyond
ISBN: 1138061425 ISBN-13(EAN): 9781138061422
Издательство: Taylor&Francis
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Цена: 224570.00 T
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Описание: Multiple Regression and Beyond offers a conceptually oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods.

Автор: Yadolah Dodge; Jana Jureckova
Название: Adaptive Regression
ISBN: 1461264642 ISBN-13(EAN): 9781461264644
Издательство: Springer
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Цена: 46570.00 T
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Описание: While there have been a large number of estimation methods proposed and developed for linear regression, none has proved good for all purposes. This text focuses on the construction of an adaptive combination of two estimation methods so as to help users make an objective choice and combine the desirable properties of two estimators.

Автор: Bernd Fitzenberger; Roger Koenker; Jose A.F. Macha
Название: Economic Applications of Quantile Regression
ISBN: 3790825026 ISBN-13(EAN): 9783790825022
Издательство: Springer
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Цена: 163040.00 T
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Описание: Complementing classical least squares regression methods which are designed to estimate conditional mean models, quantile regression provides an ensemble of techniques for estimating families of conditional quantile models, thus offering a more complete view of the stochastic relationship among variables.

Автор: Lee Myoung-Jae
Название: Matching, Regression Discontinuity, Difference in Differences, and Beyond
ISBN: 0190258748 ISBN-13(EAN): 9780190258740
Издательство: Oxford Academ
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Цена: 38010.00 T
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Описание: This book reviews the three most popular methods (and their extensions) in applied economics and other social sciences: matching, regression discontinuity, and difference in differences. The book introduces the underlying econometric/statistical ideas, shows what is identified and how the identified parameters are estimated, and then illustrates how they are applied with real empirical examples. The book emphasizes how to implement the three methods with data: many data and programs are provided in the online appendix. All readers---theoretical econometricians/statisticians, applied economists/social-scientists and researchers/students---will find something useful in the book from different perspectives.

Автор: Darlington Richard B., Hayes Andrew F.
Название: Regression Analysis and Linear Models: Concepts, Applications, and Implementation
ISBN: 1462521134 ISBN-13(EAN): 9781462521135
Издательство: Taylor&Francis
Рейтинг:
Цена: 83690.00 T
Наличие на складе: Невозможна поставка.
Описание: Ephasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The companion website (www.afhayes.com) provides datasets for the book`s examples as well as the RLM macro for SPSS and SAS. Pedagogical Features: *Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification. *An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses. *Students are guided to practice what they learn in each chapter using datasets provided online. *Addresses topics not usually covered, such as ways to measure a variable`s importance, coding systems for representing categorical variables, causation, and myths about testing interaction.

Автор: Newell George, Bloome David, Hirvela Alan
Название: Teaching and Learning Argumentative Writing in High School: Moving Beyond Structure
ISBN: 1138017434 ISBN-13(EAN): 9781138017436
Издательство: Taylor&Francis
Рейтинг:
Цена: 51030.00 T
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Описание: This book offers a new perspective on argumentative writing in grades 9-12, a set of principled practices, and case studies of excellent teaching to guide educators in using research-based knowledge to foster thoughtful writing and analytic thinking in high school classrooms.

Автор: Miles J & Shevlin M
Название: Applying Regression and Correlation
ISBN: 0761962301 ISBN-13(EAN): 9780761962304
Издательство: Sage Publications
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Цена: 58080.00 T
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Описание: By introducing the reader to regression analysis through a simple model-building approach, this book takes a fresh look at applying regression analysis in the behavioural sciences.

Автор: Welc
Название: Applied Regression Analysis for Business
ISBN: 3319711555 ISBN-13(EAN): 9783319711553
Издательство: Springer
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Цена: 55890.00 T
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Описание: This book offers hands-on statistical tools for business professionals by focusing on the practical application of a single-equation regression. The book offers a valuable guide and is relevant in various areas of economic and business analysis, including marketing, financial and operational management.

Автор: Frantisek Stulajter
Название: Predictions in Time Series Using Regression Models
ISBN: 1441929657 ISBN-13(EAN): 9781441929655
Издательство: Springer
Рейтинг:
Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book will interest and assist people who are dealing with the problems of predictions of time series in higher education and research. It will greatly assist people who apply time series theory to practical problems in their work and also serve as a textbook for postgraduate students in statistics economics and related subjects.

Автор: Sheather, Simon J.
Название: Modern approach to regression with r
ISBN: 1441918728 ISBN-13(EAN): 9781441918727
Издательство: Springer
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Цена: 65210.00 T
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Описание: This book focuses on tools and techniques for building valid regression models using real-world data. A key theme throughout the book is that it only makes sense to base inferences or conclusions on valid models.

Автор: Fox John, Weisberg Sanford
Название: An R Companion to Applied Regression
ISBN: 1544336470 ISBN-13(EAN): 9781544336473
Издательство: Sage Publications
Рейтинг:
Цена: 120390.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis.

Автор: Arkes J.
Название: Regression Analysis: A Practical Introduction, 1st Edition
ISBN: 1138541435 ISBN-13(EAN): 9781138541436
Издательство: Taylor&Francis
Рейтинг:
Цена: 68390.00 T
Наличие на складе: Нет в наличии.
Описание: With the rise of "big data," there is an increasing demand to learn the skills needed to undertake sound quantitative analysis without requiring students to spend too much time on high-level math and proofs. This book provides an efficient alternative approach, with more time devoted to the practical aspects of regression analysis and how to recognize the most common pitfalls. By doing so, the book will better prepare readers for conducting, interpreting, and assessing regression analyses, while simultaneously making the material simpler and more enjoyable to learn. Logical and practical in approach, Regression Analysis teaches: (1) the tools for conducting regressions; (2) the concepts needed to design optimal regression models (based on avoiding the pitfalls); and (3) the proper interpretations of regressions. Furthermore, this book emphasizes honesty in research, with a prevalent lesson being that statistical significance is not the goal of research. This book is an ideal introduction to regression analysis for anyone learning quantitative methods in the social sciences, business, medicine, and data analytics. It will also appeal to researchers and academics looking to better understand what regressions do, what their limitations are, and what they can tell us. This will be the most engaging book on regression analysis (or Econometrics) you will ever read!