Applied Regression Analysis For Business And Economics
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Applied Regression Analysis For Business And Economics
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Author : Terry E. Dielman
language : en
Publisher: PWS Publishing Company
Release Date : 1991
Applied Regression Analysis For Business And Economics written by Terry E. Dielman and has been published by PWS Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Business & Economics categories.
Applied Regression Analysis For Business And Economics
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Author : Terry E. Dielman
language : en
Publisher: Brooks/Cole
Release Date : 2001
Applied Regression Analysis For Business And Economics written by Terry E. Dielman and has been published by Brooks/Cole this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Business & Economics categories.
Designed for undergraduate and MBA courses in regression analysis for business and economics, this text requires very little mathematical expertise beyond college algebra. Terry Dielman emphasizes the importance of understanding the assumptions of the regression model, knowing how to validate a selected model for these assumptions, knowing when and how regression might be useful in a business setting, and understanding and interpreting output from statistical packages and spreadsheets.
Applied Regression Analysis For Business
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Author : Jacek Welc
language : en
Publisher: Springer
Release Date : 2017-12-29
Applied Regression Analysis For Business written by Jacek Welc and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-29 with Business & Economics categories.
This book offers hands-on statistical tools for business professionals by focusing on the practical application of a single-equation regression. The authors discuss commonly applied econometric procedures, which are useful in building regression models for economic forecasting and supporting business decisions. A significant part of the book is devoted to traps and pitfalls in implementing regression analysis in real-world scenarios. The book consists of nine chapters, the final two of which are fully devoted to case studies. Today's business environment is characterised by a huge amount of economic data. Making successful business decisions under such data-abundant conditions requires objective analytical tools, which can help to identify and quantify multiple relationships between dozens of economic variables. Single-equation regression analysis, which is discussed in this book, is one such tool. The book offers a valuable guide and is relevant in various areas of economic and business analysis, including marketing, financial and operational management.
Applied Regression Analysis For Business And Economics
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Author : Terry E. Dielman
language : en
Publisher:
Release Date : 2000-09
Applied Regression Analysis For Business And Economics written by Terry E. Dielman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-09 with categories.
Applied Regression Analysis For Business And Economics
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Author : Terry E. Dielman
language : en
Publisher:
Release Date : 2000-09-01
Applied Regression Analysis For Business And Economics written by Terry E. Dielman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-09-01 with categories.
Provides worked-out solutions to odd-numbered exercises.
Applied Statistics For Business And Economics
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Author : Robert M. Leekley
language : en
Publisher: CRC Press
Release Date : 2010-03-16
Applied Statistics For Business And Economics written by Robert M. Leekley and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-16 with Business & Economics categories.
Designed for a one-semester course, Applied Statistics for Business and Economics offers students in business and the social sciences an effective introduction to some of the most basic and powerful techniques available for understanding their world. Numerous interesting and important examples reflect real-life situations, stimulating students to t
Meta Regression Analysis In Economics And Business
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Author : T. D. Stanley
language : en
Publisher: Routledge
Release Date : 2012
Meta Regression Analysis In Economics And Business written by T. D. Stanley and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Business & Economics categories.
Meta-Regression Analysis in Economics and Business is the first text devoted to the meta-regression analysis (MRA) of economics and business research.
Applied Regression Analysis
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Author : Terry E. Dielman
language : en
Publisher:
Release Date : 2005
Applied Regression Analysis written by Terry E. Dielman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Regression analysis categories.
Applied Panel Data Analysis For Economic And Social Surveys
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Author : Hans-Jürgen Andreß
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-01-24
Applied Panel Data Analysis For Economic And Social Surveys written by Hans-Jürgen Andreß and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-24 with Social Science categories.
Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena. This textbook shows how to manage, describe, and model these kinds of data. It presents models for continuous and categorical dependent variables, focusing either on the level of these variables at different points in time or on their change over time. It covers fixed and random effects models, models for change scores and event history models. All statistical methods are explained in an application-centered style using research examples from scholarly journals, which can be replicated by the reader through data provided on the accompanying website. As all models are compared to each other, it provides valuable assistance with choosing the right model in applied research. The textbook is directed at master and doctoral students as well as applied researchers in the social sciences, psychology, business administration and economics. Readers should be familiar with linear regression and have a good understanding of ordinary least squares estimation.
The Sage Handbook Of Regression Analysis And Causal Inference
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Author : Henning Best
language : en
Publisher: SAGE
Release Date : 2013-12-20
The Sage Handbook Of Regression Analysis And Causal Inference written by Henning Best and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-20 with Social Science categories.
′The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.′ - John Fox, Professor, Department of Sociology, McMaster University ′The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.′ - Ben Jann, Executive Director, Institute of Sociology, University of Bern ′Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.′ -Tom Smith, Senior Fellow, NORC, University of Chicago Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.