Applied Longitudinal Data Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Applied Longitudinal Data Analysis

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Judith D. Singer 作者
Oxford University Press, USA
譯者
2003-03-19 出版日期
644 頁數
USD 69.50 價格
Hardcover
叢書系列
9780195152968 圖書編碼

Applied Longitudinal Data Analysis 在線電子書 圖書標籤: 統計  統計學  統計分析  HLM  追蹤數據分析  計量  statistics  Stat   


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Applied Longitudinal Data Analysis 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Applied Longitudinal Data Analysis 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Applied Longitudinal Data Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



Applied Longitudinal Data Analysis 在線電子書 用戶評價

評分

Do not use it unless your instructor choose it. You won't get the idea of longitudinal data analysis because the writing style of this book is way too condense. For learning fixed and random effect models, go directly to princeton university online resources.

評分

I never thought that I would use beautiful to describe a book on statistics. But this book IS beautifully written.

評分

: O212.7/S617

評分

I never thought that I would use beautiful to describe a book on statistics. But this book IS beautifully written.

評分

: O212.7/S617

Applied Longitudinal Data Analysis 在線電子書 著者簡介


Applied Longitudinal Data Analysis 在線電子書 著者簡介


Applied Longitudinal Data Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Applied Longitudinal Data Analysis 在線電子書 圖書描述

Change is constant in everyday life. Infants crawl and then walk, children learn to read and write, teenagers mature in myriad ways, the elderly become frail and forgetful. Beyond these natural processes and events, external forces and interventions instigate and disrupt change: test scores may rise after a coaching course, drug abusers may remain abstinent after residential treatment. By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of our lives. Applied Longitudinal Data Analysis is a much-needed professional book for empirical researchers and graduate students in the behavioral, social, and biomedical sciences. It offers the first accessible in-depth presentation of two of today's most popular statistical methods: multilevel models for individual change and hazard/survival models for event occurrence (in both discrete- and continuous-time). Using clear, concise prose and real data sets from published studies, the authors take you step by step through complete analyses, from simple exploratory displays that reveal underlying patterns through sophisticated specifications of complex statistical models.

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