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Essential Statistics, Regression, and Econometrics

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Release : 2015-06-08
Genre : Mathematics
Kind : eBook
Book Rating : 920/5 ( reviews)

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Book Synopsis Essential Statistics, Regression, and Econometrics by : Gary Smith

Download or read book Essential Statistics, Regression, and Econometrics written by Gary Smith. This book was released on 2015-06-08. Available in PDF, EPUB and Kindle. Book excerpt: Essential Statistics, Regression, and Econometrics, Second Edition, is innovative in its focus on preparing students for regression/econometrics, and in its extended emphasis on statistical reasoning, real data, pitfalls in data analysis, and modeling issues. This book is uncommonly approachable and easy to use, with extensive word problems that emphasize intuition and understanding. Too many students mistakenly believe that statistics courses are too abstract, mathematical, and tedious to be useful or interesting. To demonstrate the power, elegance, and even beauty of statistical reasoning, this book provides hundreds of new and updated interesting and relevant examples, and discusses not only the uses but also the abuses of statistics. The examples are drawn from many areas to show that statistical reasoning is not an irrelevant abstraction, but an important part of everyday life. Includes hundreds of updated and new, real-world examples to engage students in the meaning and impact of statistics Focuses on essential information to enable students to develop their own statistical reasoning Ideal for one-quarter or one-semester courses taught in economics, business, finance, politics, sociology, and psychology departments, as well as in law and medical schools Accompanied by an ancillary website with an instructors solutions manual, student solutions manual and supplementing chapters

Student Solutions Manual for Essential Statistics, Regression, and Econometrics

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Author :
Release : 2011-06-16
Genre : Mathematics
Kind : eBook
Book Rating : 750/5 ( reviews)

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Book Synopsis Student Solutions Manual for Essential Statistics, Regression, and Econometrics by : Gary Smith

Download or read book Student Solutions Manual for Essential Statistics, Regression, and Econometrics written by Gary Smith. This book was released on 2011-06-16. Available in PDF, EPUB and Kindle. Book excerpt: Essential Statistics, Regression, and Econometrics provides students with a readable, deep understanding of the key statistical topics they need to understand in an econometrics course. It is innovative in its focus, including real data, pitfalls in data analysis, and modeling issues (including functional forms, causality, and instrumental variables). This book is unusually readable and non-intimidating, with extensive word problems that emphasize intuition and understanding. Exercises range from easy to challenging and the examples are substantial and real, to help the students remember the technique better. It offers readable exposition and exceptional exercises/examples that students can relate to. It focuses on key methods for econometrics students without including unnecessary topics. It covers data analysis not covered in other texts. It includes ideal presentation of material (topic order) for econometrics .

Essential Statistics for Economics, Business and Management

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Release : 2007-06-05
Genre : Mathematics
Kind : eBook
Book Rating : 795/5 ( reviews)

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Book Synopsis Essential Statistics for Economics, Business and Management by : Teresa Bradley

Download or read book Essential Statistics for Economics, Business and Management written by Teresa Bradley. This book was released on 2007-06-05. Available in PDF, EPUB and Kindle. Book excerpt: Essential Statistics for Economics, Business and Management assumes no prior knowledge of statistics. It will also be highly relevant for the statistics component of courses in quantitative methods. The style of the book is similar to that of the highly successful Essential Mathematics for Economics and Business by Teresa Bradley and Paul Patton, with many worked examples integrated throughout. Emphasis is placed on verbalising concepts, problems and results of statistical analysis. This will help students learn how to start a problem, complete the calculations, and report the results in a way that makes sense to a non-statistician. Each concept is introduced with a brief but plausible explanation followed by Worked Examples. The Worked Examples will provide students with the necessary practice that they need in order to succeed at the subject. Emphasis is also placed on ?learning through doing? problems. Excel is used to encourage students in doing problems and to enhance understanding (with links to datasets online). Minitab printouts are also included in the text. Skills Development Exercises with brief solutions are included within the chapters, and Progress Exercises on theory and applications are provided at the end of each chapter. Solutions to all the worked examples and progress exercises are available as an appendix. Web-based supplementary materials will be provided for lecturers adopting the text, including additonal exercises and solutions, excel datasets and exercises, powerpoint slides with key formula, figures and tables. Students can access an online glossary and weblinks.

Regression Analysis of Count Data

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Author :
Release : 2013-05-27
Genre : Business & Economics
Kind : eBook
Book Rating : 166/5 ( reviews)

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Book Synopsis Regression Analysis of Count Data by : Adrian Colin Cameron

Download or read book Regression Analysis of Count Data written by Adrian Colin Cameron. This book was released on 2013-05-27. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the most comprehensive and up-to-date account of regression methods to explain the frequency of events.

Regression and Other Stories

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Author :
Release : 2020-07-23
Genre : Business & Economics
Kind : eBook
Book Rating : 98X/5 ( reviews)

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Book Synopsis Regression and Other Stories by : Andrew Gelman

Download or read book Regression and Other Stories written by Andrew Gelman. This book was released on 2020-07-23. Available in PDF, EPUB and Kindle. Book excerpt: A practical approach to using regression and computation to solve real-world problems of estimation, prediction, and causal inference.

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