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

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Judith D. Singer

Oxford University Press, USA

2003-03-19

644

USD 69.50

Hardcover

9780195152968

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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发表于2024-11-23

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

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

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.

Applied Longitudinal Data Analysis 下載 mobi epub pdf txt 電子書

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

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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☆☆☆☆☆

除瞭最新的一些縱嚮分析方法沒有涉及到之外，對一般的縱嚮數據處理方法都有涉及。結構清晰，舉例詳細，非常實用，而且在ucla的網站上還有可以下載的data配閤教材進行示範操作。

評分☆☆☆☆☆

: O212.7/S617

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