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Probability and conditional expectation = fundamentals for the empirical sciences /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Probability and conditional expectation/ Rolf Steyer, Werner Nagel.
其他題名:	fundamentals for the empirical sciences /
作者:	Steyer, Rolf,
其他作者:	Nagel, Werner,
出版者:	Chichester, West Sussex :John Wiley & Sons, : 2017.,
面頁冊數:	1 online resource.
附註:	Includes index.
標題:	Random variables. -
電子資源:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781119243496
ISBN:	9781119243496

Probability and conditional expectation = fundamentals for the empirical sciences /
Steyer, Rolf,1950-

Probability and conditional expectationfundamentals for the empirical sciences /[electronic resource] :Rolf Steyer, Werner Nagel. - 1st ed. - Chichester, West Sussex :John Wiley & Sons,2017. - 1 online resource.

Includes index.

Probability and Conditional Expectations bridges the gap between books on probability theory and statistics by providing the probabilistic concepts estimated and tested in analysis of variance, regression analysis, factor analysis, structural equation modeling, hierarchical linear models and analysis of qualitative data. The authors emphasize the theory of conditional expectations that is also fundamental to conditional independence and conditional distributions. Probability and Conditional Expectations -Presents a rigorous and detailed mathematical treatment of probability theory focusing on concepts that are fundamental to understand what we are estimating in applied statistics. -Explores the basics of random variables along with extensive coverage of measurable functions and integration. -Extensively treats conditional expectations also with respect to a conditional probability measure and the concept of conditional effect functions, which are crucial in the analysis of causal effects. -Is illustrated throughout with simple examples, numerous exercises and detailed solutions. -Provides website links to further resources including videos of courses delivered by the authors as well as R code exercises to help illustrate the theory presented throughout the book.

ISBN: 9781119243496Subjects--Topical Terms:

598296
Random variables.

LC Class. No.: QA273 / .S75325 2017eb

Dewey Class. No.: 519.2

Probability and conditional expectation = fundamentals for the empirical sciences /
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260 $a Chichester, West Sussex : $b John Wiley & Sons, $c 2017.
300 $a 1 online resource.
500 $a Includes index.
520 $a Probability and Conditional Expectations bridges the gap between books on probability theory and statistics by providing the probabilistic concepts estimated and tested in analysis of variance, regression analysis, factor analysis, structural equation modeling, hierarchical linear models and analysis of qualitative data. The authors emphasize the theory of conditional expectations that is also fundamental to conditional independence and conditional distributions. Probability and Conditional Expectations -Presents a rigorous and detailed mathematical treatment of probability theory focusing on concepts that are fundamental to understand what we are estimating in applied statistics. -Explores the basics of random variables along with extensive coverage of measurable functions and integration. -Extensively treats conditional expectations also with respect to a conditional probability measure and the concept of conditional effect functions, which are crucial in the analysis of causal effects. -Is illustrated throughout with simple examples, numerous exercises and detailed solutions. -Provides website links to further resources including videos of courses delivered by the authors as well as R code exercises to help illustrate the theory presented throughout the book.
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856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119243496