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Regression Analysis: A Practical Introduction, 1st Edition, Arkes J.


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Автор: Arkes J.   (Дж. Аркес)
Название:  Regression Analysis: A Practical Introduction, 1st Edition
Перевод названия: Дж. Аркес: Регрессионный анализ: практическое введение, 1-е издание
ISBN: 9781138541436
Издательство: Taylor&Francis
Классификация:


ISBN-10: 1138541435
Обложка/Формат: Paperback
Страницы: 362
Вес: 0.63 кг.
Дата издания: 01.02.2019
Язык: English
Иллюстрации: 60 line drawings, black and white; 55 tables, black and white; 60 illustrations, black and white
Размер: 174 x 243 x 26
Читательская аудитория: Postgraduate, research & scholarly
Ключевые слова: Econometrics, BUSINESS & ECONOMICS / General,BUSINESS & ECONOMICS / Econometrics,BUSINESS & ECONOMICS / Statistics
Основная тема: Econometrics
Подзаголовок: A Practical Introduction
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
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!


      Новое издание
Regression analysis

Автор: Arkes, Jeremy
Название: Regression analysis
ISBN: 1032257830 ISBN-13(EAN): 9781032257839
Издательство: Taylor&Francis
Цена: 6123.00 р.
Наличие на складе: Есть у поставщикаПоставка под заказ.
Описание: This thoroughly practical and engaging textbook is designed to equip students with the skills needed to undertake sound regression analysis without requiring high-level math. Regression Analysis covers the concepts needed to design optimal regression models and to properly interpret regressions.


Time Series Analysis

Автор: Hamilton, James
Название: Time Series Analysis
ISBN: 0691042896 ISBN-13(EAN): 9780691042893
Издательство: Wiley
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Цена: 11088.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A graduate-level text which describes the recent dramatic changes that have taken place in the way that researchers analyze economic and financial time series. It explores such important innovations as vector regression, nonlinear time series models and the generalized methods of moments.

Regression and factor analysis applied in econometrics

Автор: J.H.F. Schilderinck
Название: Regression and factor analysis applied in econometrics
ISBN: 1461340535 ISBN-13(EAN): 9781461340539
Издательство: Springer
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Цена: 12157.00 р.
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Описание: This book deals with the methods and practical uses of regression and factor analysis. Besides the model for the Netherlands published here, the models for Belgium, Italy, West Germany and the United Kingdom are ready for linking and for publishing later on.

Regression Analysis of Count Data

Автор: Cameron
Название: Regression Analysis of Count Data
ISBN: 1107667275 ISBN-13(EAN): 9781107667273
Издательство: Cambridge Academ
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Цена: 8078.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Students in both social and natural sciences often seek regression methods to explain the frequency of events, such as visits to a doctor, auto accidents, or new patents awarded. The second edition provides the most comprehensive and up-to-date account of models and methods to interpret such data.

Regression Analysis of Count Data

Автор: Cameron
Название: Regression Analysis of Count Data
ISBN: 1107014166 ISBN-13(EAN): 9781107014169
Издательство: Cambridge Academ
Рейтинг:
Цена: 22176.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Students in both social and natural sciences often seek regression methods to explain the frequency of events, such as visits to a doctor, auto accidents, or new patents awarded. The second edition provides the most comprehensive and up-to-date account of models and methods to interpret such data.

Econometrics and data analysis for developing countries

Автор: Mukherjee, Chandan Etc. White, Howard Wuyts, Mark
Название: Econometrics and data analysis for developing countries
ISBN: 0415094003 ISBN-13(EAN): 9780415094009
Издательство: Taylor&Francis
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Цена: 9798.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A rigorous but accessible foundation to modern data analysis and econometric practice. Contains many examples and exercises and data from developing countries which is available for immediate use on a free floppy disk.

A Practitioner`s Guide to Stochastic Frontier Analysis Using Stata

Автор: Kumbhakar
Название: A Practitioner`s Guide to Stochastic Frontier Analysis Using Stata
ISBN: 1107609461 ISBN-13(EAN): 9781107609464
Издательство: Cambridge Academ
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Цена: 7445.00 р.
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Описание: A Practitioner`s Guide to Stochastic Frontier Analysis Using Stata provides practitioners with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. Immensely helpful to the applied researcher, it bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented.

Two-Sided Matching: A Study in Game-Theoretic Modeling and Analysis (Econometric Society Monographs)

Автор: Al Roth and Marilda Sotomayor
Название: Two-Sided Matching: A Study in Game-Theoretic Modeling and Analysis (Econometric Society Monographs)
ISBN: 0521437881 ISBN-13(EAN): 9780521437882
Издательство: Cambridge Academ
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Цена: 7128.00 р.
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Описание: Two-sided matching provides a model of search processes such as those between firms and workers in labor markets or between buyers and sellers in auctions. This text provides a comprehensive account of recent results concerning the game-theoretic analysis of two-sided matching.

A Modern Approach to Regression with R

Автор: Simon J. Sheather
Название: A Modern Approach to Regression with R
ISBN: 0387096078 ISBN-13(EAN): 9780387096070
Издательство: Springer
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Цена: 10480.00 р.
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Описание: This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. The regression output and plots that appear throughout the book have been gen- ated using R.

Morphisms for quantitative spatial analysis

Автор: Griffith, Daniel A. Paelinck, Jean H. P.
Название: Morphisms for quantitative spatial analysis
ISBN: 3319725521 ISBN-13(EAN): 9783319725529
Издательство: Springer
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Цена: 16070.00 р.
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Описание: This book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial econometrics (Part II).

Applied Regression Analysis for Business

Автор: Welc
Название: Applied Regression Analysis for Business
ISBN: 3319711555 ISBN-13(EAN): 9783319711553
Издательство: Springer
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Цена: 8384.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.


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