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Understanding advanced statistical m...
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Westfall, Peter H., (1957-)
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Understanding advanced statistical methods /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Understanding advanced statistical methods // Peter H. Westfall, Kevin S. S. Henning.
作者:
Westfall, Peter H.,
其他作者:
Henning, Kevin S. S.
出版者:
Boca Raton :CRC Press, Taylor & Francis roup : c2013.,
面頁冊數:
xxv, 543 p. :ill. ;26 cm.
標題:
Mathematical statistics. -
電子資源:
http://images.tandf.co.uk/common/jackets/websmall/978146651/9781466512108.jpg
ISBN:
1466512105
Understanding advanced statistical methods /
Westfall, Peter H.,1957-
Understanding advanced statistical methods /
Peter H. Westfall, Kevin S. S. Henning. - Boca Raton :CRC Press, Taylor & Francis roupc2013. - xxv, 543 p. :ill. ;26 cm. - Texts in statistical science series.
Includes bibliographical references and index.
"Preface We wrote this book because there is a large gap between the elementary statistics course that most people take and the more advanced research methods courses taken by graduate and upper-division students so they can carry out research projects. These advanced courses include difficult topics such as regression, forecasting, structural equations, survival analysis, and categorical data, often analyzed using sophisticated likelihood-based and even Bayesian methods. However, they typically devote little time to helping students understand the fundamental assumptions and machinery behind these methods. Instead, they teach the material like witchcraft: Do this, do that, and voilà--statistics! Students thus have little idea as to what they are doing and why they are doing it. Like trained parrots, they learn how to recite statistical jargon mindlessly. The goal of this book is to make statistics less like witchcraft and to treat students like intelligent humans and not like trained parrots--thus the title, Understanding Advanced Statistical Methods. This book will surprise your students. It will cause them to think differently about things, not only about math and statistics, but also about research, the scientific method, and life in general. It will teach them how to do good modeling--and hence good statistics-- from a standpoint of deep knowledge rather than rote knowledge. It will also provide them with tools to think critically about the claims they see in the popular press and to design their own studies to avoid common errors"--
ISBN: 1466512105GBP50.00
LCCN: 2013003655Subjects--Topical Terms:
516858
Mathematical statistics.
LC Class. No.: QA276 / .W4537 2013
Dewey Class. No.: 519.5
Understanding advanced statistical methods /
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"Preface We wrote this book because there is a large gap between the elementary statistics course that most people take and the more advanced research methods courses taken by graduate and upper-division students so they can carry out research projects. These advanced courses include difficult topics such as regression, forecasting, structural equations, survival analysis, and categorical data, often analyzed using sophisticated likelihood-based and even Bayesian methods. However, they typically devote little time to helping students understand the fundamental assumptions and machinery behind these methods. Instead, they teach the material like witchcraft: Do this, do that, and voilà--statistics! Students thus have little idea as to what they are doing and why they are doing it. Like trained parrots, they learn how to recite statistical jargon mindlessly. The goal of this book is to make statistics less like witchcraft and to treat students like intelligent humans and not like trained parrots--thus the title, Understanding Advanced Statistical Methods. This book will surprise your students. It will cause them to think differently about things, not only about math and statistics, but also about research, the scientific method, and life in general. It will teach them how to do good modeling--and hence good statistics-- from a standpoint of deep knowledge rather than rote knowledge. It will also provide them with tools to think critically about the claims they see in the popular press and to design their own studies to avoid common errors"--
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