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Cause and Correlation in Biology :[e...

Ebooks Corporation.

Cause and Correlation in Biology :[electronic resource].A User's Guide to Path Analysis, Structural Equations and Causal Inference.

纪录类型:	书目-语言数据,印刷品 : Monograph/item
[NT 15000414] null:	570/.1/5195
[NT 47271] Title/Author:	Cause and Correlation in Biology : : A User's Guide to Path Analysis, Structural Equations and Causal Inference.
作者:	Shipley, Bill.
出版者:	Cambridge : : Cambridge University Press,, 2000.
面页册数:	329 p.
标题:	Biometry.
ISBN:	9780511605949 (electronic bk.)
ISBN:	9780521791533 (print)
[NT 15000228] null:	Cover; Half-title; Title; Copyright; Dedication; Contents; Preface; 1 Preliminaries; 2 From cause to correlation and back; 3 Sewall Wright, path analysis and d-separation; 4 Path analysis and maximum likelihood; 5 Measurement error and latent variables; 6 The structural equations model; 7 Nested models and multilevel models; 8 Exploration, discovery and equivalence; Appendix; References; Index
[NT 15000229] null:	Written in a jargon-free, conversational style, this book explores the relationship between correlation and causation. It presents a series of statistical methods that can test, and potentially discover, cause-effect relationships between variables in situations in which it is not possible to conduct controlled experiments.
电子资源:	Click here to view book

Cause and Correlation in Biology :[electronic resource].A User's Guide to Path Analysis, Structural Equations and Causal Inference.
Shipley, Bill.

Cause and Correlation in Biology :A User's Guide to Path Analysis, Structural Equations and Causal Inference.[electronic resource]. - Cambridge :Cambridge University Press,2000. - 329 p.

Cover; Half-title; Title; Copyright; Dedication; Contents; Preface; 1 Preliminaries; 2 From cause to correlation and back; 3 Sewall Wright, path analysis and d-separation; 4 Path analysis and maximum likelihood; 5 Measurement error and latent variables; 6 The structural equations model; 7 Nested models and multilevel models; 8 Exploration, discovery and equivalence; Appendix; References; Index

Written in a jargon-free, conversational style, this book explores the relationship between correlation and causation. It presents a series of statistical methods that can test, and potentially discover, cause-effect relationships between variables in situations in which it is not possible to conduct controlled experiments.

Electronic reproduction.

Available via World Wide Web.

Mode of access: World Wide Web.

ISBN: 9780511605949 (electronic bk.)Subjects--Topical Terms:

337787
Biometry.
Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: QH323.5

Dewey Class. No.: 570/.1/5195

Cause and Correlation in Biology :[electronic resource].A User's Guide to Path Analysis, Structural Equations and Causal Inference.
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245 1 0 $a Cause and Correlation in Biology : $b A User's Guide to Path Analysis, Structural Equations and Causal Inference. $h [electronic resource].
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300 $a 329 p.
505 0 $a Cover; Half-title; Title; Copyright; Dedication; Contents; Preface; 1 Preliminaries; 2 From cause to correlation and back; 3 Sewall Wright, path analysis and d-separation; 4 Path analysis and maximum likelihood; 5 Measurement error and latent variables; 6 The structural equations model; 7 Nested models and multilevel models; 8 Exploration, discovery and equivalence; Appendix; References; Index
520 $a Written in a jargon-free, conversational style, this book explores the relationship between correlation and causation. It presents a series of statistical methods that can test, and potentially discover, cause-effect relationships between variables in situations in which it is not possible to conduct controlled experiments.
533 $a Electronic reproduction. $n Available via World Wide Web.
538 $a Mode of access: World Wide Web.
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655 7 $a Electronic books. $2 local $3 336502
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856 4 0 $z Click here to view book $u http://ebooks.cambridge.org/ebook.jsf?bid=CBO9780511605949

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