第 1/1 張圖片
Models for Discrete Longitudinal Data, Hardcover by Molenberghs, Geert, Brand...
狀況：
庫存 3 件
運費：
所在地：Jessup, Maryland, 美國
送達日期：
估計於 6月11日, 二至 6月22日, 六之間送達 運送地點 43230
退貨：
保障：
請參閱物品說明或聯絡賣家以取得詳細資料。閱覽全部詳情查看保障詳情
（不符合「eBay 買家保障方案」資格）
物品細節
- 物品狀況
- 全新: 全新，未閱讀過和使用過的書籍，狀況完好，不存在缺頁或內頁受損。 查看所有物品狀況定義會在新視窗或分頁中開啟
- Book Title
- Models for Discrete Longitudinal Data
- ISBN
- 9780387251448
- Series
- Springer Series in Statistics Ser.
- Publication Year
- 2006
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Publication Name
- Models for Discrete Longitudinal Data
- Item Length
- 9.3in
- Publisher
- Springer New York
- Item Width
- 6.1in
- Item Weight
- 90.7 Oz
- Number of Pages
- Xxii, 687 Pages
關於產品
Product Information
The linear mixed model has become the main parametric tool for the analysis of continuous longitudinal data, as the authors discussed in their 2000 book. Without putting too much emphasis on software, the book shows how the different approaches can be implemented within the SAS software package. The authors received the American Statistical Association's Excellence in Continuing Education Award based on short courses on longitudinal and incomplete data at the Joint Statistical Meetings of 2002 and 2004.
Product Identifiers
Publisher
Springer New York
ISBN-10
0387251448
ISBN-13
9780387251448
eBay Product ID (ePID)
46466208
Product Key Features
Publication Name
Models for Discrete Longitudinal Data
Format
Hardcover
Language
English
Series
Springer Series in Statistics Ser.
Publication Year
2006
Type
Textbook
Number of Pages
Xxii, 687 Pages
Dimensions
Item Length
9.3in
Item Width
6.1in
Item Weight
90.7 Oz
Additional Product Features
Number of Volumes
1 Vol.
Lc Classification Number
Qa273.A1-274.9
Reviews
From the reviews:"Strengths of this book include its breadth of topics, excellent organization and clarity of writing...I highly recommend this book to my colleagues and students." -Justine Shults for the Journal of Biopharmaceutical Statistics, Issue 3, 2006"Models for Discrete Longitudinal Data is an excellent choice for any statistician with an interest in analyzing discrete longitudinal data. It covers all of the theoretical and applied aspects in this area and is organized in such a way to serve as a handy reference guide for applied statisticians, especially those in biomedical fields. I learned a great deal from this book, and I recommend it highly to others." -John Williamson for the Journal of the American Statistical Association, September 2006"This book complements Verbeke and Molenberghs (2000), which focused on models based on the multivariate normal distribution. … This book covers the alternative models and approaches in a methodical and accessible manner. The emphasis in the book is on presenting methods for solving practical problems, and the authors succeed admirably in this. … The material is clearly presented … . This book is very welcome, and will undoubtedly prove to be useful and influential." (B. J. T. Morgan, Short Book Reviews, Vol. 26 (2), 2006)"This book provides a comprehensive treatment of modeling approaches for non-Gaussian repeated measures … . the book shows how the different approaches can be implemented within the SAS software package. The text is so organized that the reader can skip the software-oriented chapters and sections without breaking the logical flow. … It is a very important, modern and useful book for statisticians." (T. Postelnicu, Zentralblatt MATH, Vol. 1093 (19), 2006)"This book … concentrates on models for non-normally distributed longitudinal data, like binary or categorical data. … The book under review is a comprehensive collection of latest models for non-normally distributed longitudinal data. … Models for Discrete Longitudinal Data addresses interested (and experienced) students and lectures as well as practitioners looking for solutions of everyday problems." (K. Webel, Advances in Statistical Analysis, Vol. 91 (2), 2007), From the reviews: "Strengths of this book include its breadth of topics, excellent organization and clarity of writing...I highly recommend this book to my colleagues and students." -Justine Shults for the Journal of Biopharmaceutical Statistics, Issue 3, 2006 "Models for Discrete Longitudinal Data is an excellent choice for any statistician with an interest in analyzing discrete longitudinal data. It covers all of the theoretical and applied aspects in this area and is organized in such a way to serve as a handy reference guide for applied statisticians, especially those in biomedical fields. I learned a great deal from this book, and I recommend it highly to others." -John Williamson for the Journal of the American Statistical Association, September 2006 "This book complements Verbeke and Molenberghs (2000), which focused on models based on the multivariate normal distribution. ... This book covers the alternative models and approaches in a methodical and accessible manner. The emphasis in the book is on presenting methods for solving practical problems, and the authors succeed admirably in this. ... The material is clearly presented ... . This book is very welcome, and will undoubtedly prove to be useful and influential." (B. J. T. Morgan, Short Book Reviews, Vol. 26 (2), 2006) "This book provides a comprehensive treatment of modeling approaches for non-Gaussian repeated measures ... . the book shows how the different approaches can be implemented within the SAS software package. The text is so organized that the reader can skip the software-oriented chapters and sections without breaking the logical flow. ... It is a very important, modern and useful book for statisticians." (T. Postelnicu, Zentralblatt MATH, Vol. 1093 (19), 2006) "This book ... concentrates on models for non-normally distributed longitudinal data, like binary or categorical data. ... The book under review is a comprehensivecollection of latest models for non-normally distributed longitudinal data. ... Models for Discrete Longitudinal Data addresses interested (and experienced) students and lectures as well as practitioners looking for solutions of everyday problems." (K. Webel, Advances in Statistical Analysis, Vol. 91 (2), 2007), From the reviews: "Strengths of this book include its breadth of topics, excellent organization and clarity of writing...I highly recommend this book to my colleagues and students." -Justine Shults for the Journal of Biopharmaceutical Statistics, Issue 3, 2006 "Models for Discrete Longitudinal Data is an excellent choice for any statistician with an interest in analyzing discrete longitudinal data. It covers all of the theoretical and applied aspects in this area and is organized in such a way to serve as a handy reference guide for applied statisticians, especially those in biomedical fields. I learned a great deal from this book, and I recommend it highly to others." -John Williamson for the Journal of the American Statistical Association, September 2006 "This book complements Verbeke and Molenberghs (2000), which focused on models based on the multivariate normal distribution. ... This book covers the alternative models and approaches in a methodical and accessible manner. The emphasis in the book is on presenting methods for solving practical problems, and the authors succeed admirably in this. ... The material is clearly presented ... . This book is very welcome, and will undoubtedly prove to be useful and influential." (B. J. T. Morgan, Short Book Reviews, Vol. 26 (2), 2006) "This book provides a comprehensive treatment of modeling approaches for non-Gaussian repeated measures ... . the book shows how the different approaches can be implemented within the SAS software package. The text is so organized that the reader can skip the software-oriented chapters and sections without breaking the logical flow. ... It is a very important, modern and useful book for statisticians." (T. Postelnicu, Zentralblatt MATH, Vol. 1093 (19), 2006) "This book ... concentrates on models for non-normally distributed longitudinal data, like binary or categorical data. ... The book under review is a comprehensive collection of latest models for non-normally distributed longitudinal data. ... Models for Discrete Longitudinal Data addresses interested (and experienced) students and lectures as well as practitioners looking for solutions of everyday problems." (K. Webel, Advances in Statistical Analysis, Vol. 91 (2), 2007), "Strengths of this book include its breadth of topics, excellent organization and clarity of writing...I highly recommend this book to my colleagues and students." - Justine Shults for the Journal of Biopharmaceutical Statistics, Issue 3, 2006 " Models for Discrete Longitudinal Data is an excellent choice for any statistician with an interest in analyzing discrete longitudinal data. It covers all of the theoretical and applied aspects in this area and is organized in such a way to serve as a handy reference guide for applied statisticians, especially those in biomedical fields. I learned a great deal from this book, and I recommend it highly to others." - John Williamson for the Journal of the American Statistical Association, September 2006
Table of Content
Motivating Studies.- Generalized Linear Models.- Linear Mixed Models for Gaussian Longitudinal Data.- Model Families.- The Strength of Marginal Models.- Likelihood-based Marginal Models.- Generalized Estimating Equations.- Pseudo-Likelihood.- Fitting Marginal Models with SAS.- Conditional Models.- Pseudo-Likehood.- From Subject-specific to Random-effects Models.- The Generalized Linear Mixed Model (GLMM).- Fitting Generalized Linear Mixed Models with SAS.- Marginal versus Random-effects Models.- The Analgesic Trial.- Ordinal Data.- The Epilepsy Data.- Non-linear Models.- Pseudo-Likelihood for a Hierarchical Model.- Random-effects Models with Serial Correlation.- Non-Gaussian Random Effects.- Joint Continuous and Discrete Responses.- High-dimensional Joint Models.- Missing Data Concepts.- Simple Methods, Direct Likelihood, and Weighted Generalized Estimating Equations.- Multiple Imputation and the Expectation-Maximization Algorithm.- Selection Models.- Pattern-mixture Models.- Sensitivity Analysis.- Incomplete Data and SAS.
Copyright Date
2005
Topic
Biostatistics, Probability & Statistics / General, Probability & Statistics / Multivariate Analysis
Lccn
2005-923258
Dewey Decimal
519.53
Intended Audience
Scholarly & Professional
Dewey Edition
22
Illustrated
Yes
Genre
Mathematics, Medical
賣家提供的物品說明
運費與處理費
物品所在地：
Jessup, Maryland, 美國
運送地點
不丹, 中國, 中國台灣, 中國澳門, 中國香港, 中非共和國, 丹麥, 亞塞拜疆共和國, 亞美尼亞, 以色列, 伯利茲, 佛得角群島, 保加利亞, 克羅地亞共和國, 冰島, 列支敦士登, 利比利亞, 剛果共和國, 剛果民主共和國, 加拿大, 加納, 加蓬共和國, 匈牙利, 南非, 南韓, 卡塔爾, 印尼, 印度, 危地馬拉, 厄瓜多爾, 厄立特里亞, 吉布提, 吉爾吉斯, 哈薩克, 哥倫比亞, 哥斯達黎加, 喀麥隆, 土庫斯安德凱科斯群島, 圭亞那, 坦桑尼亞, 埃及, 埃塞俄比亞, 基里巴斯, 塞內加爾, 塞拉利昂, 塞浦路斯, 塞爾維亞, 墨西哥, 多哥, 多明尼加共和國, 奧地利, 孟加拉, 安圭拉島, 安提瓜和巴布達, 安道爾, 尼加拉瓜, 尼日爾, 尼泊爾, 巴哈馬, 巴基斯坦, 巴布亞新畿內亞, 巴拉圭, 巴拿馬, 巴林, 布基納法索, 布隆迪, 希臘, 幾內亞, 幾內亞比索, 德國, 意大利, 愛沙尼亞, 愛爾蘭, 所羅門群島, 拉脫維亞, 挪威, 捷克共和國, 摩洛哥, 摩爾多瓦, 摩納哥, 斐濟, 斯洛伐克, 斯洛文尼亞, 斯里蘭卡, 新加坡, 日本, 智利, 柬埔寨, 格陵蘭, 格雷納達, 格魯吉亞, 梵蒂岡, 歐洲, 比利時, 汶萊, 波斯尼亞和黑塞哥維那, 波蘭, 泰國, 津巴布韋, 洪都拉斯, 海地, 湯加, 澳洲, 烏干達, 烏茲別克, 牙買加, 特里尼達和多巴哥, 玻利維亞, 瑙魯, 瑞典, 瑞士, 瓦利斯和富圖納群島, 瓦努阿圖, 甘比亞, 百慕達群島, 盧旺達, 盧森堡, 直布羅陀, 科威特, 科特迪瓦（象牙海岸）, 秘魯, 突尼斯, 立陶宛, 約旦, 納米比亞, 紐西蘭, 羅馬尼亞, 美洲, 聖基茨-尼維斯, 聖文森和格瑞那丁, 聖盧西亞, 聖馬力諾, 肯亞, 芬蘭, 英國, 茅利塔尼亞, 荷蘭, 莫桑比克, 菲律賓, 葡萄牙, 蒙古, 蒙特色拉特島, 薩爾瓦多, 蘇里南, 西班牙, 西薩摩亞, 貝寧, 贊比亞, 赤道幾內亞, 越南, 開曼群島, 阿富汗, 阿拉伯聯合酋長國, 阿曼, 阿根廷, 阿爾及利亞, 阿爾巴尼亞, 阿魯巴, 馬來西亞, 馬拉維, 馬爾代夫, 馬耳他, 馬達加斯加, 馬里, 黎巴嫩, 黑山
排除：
APO/FPO, 乍德, 也門, 俄羅斯聯邦, 利比亞, 博茨瓦納, 土庫曼, 土耳其, 塔吉克, 塞舌爾, 委內瑞拉, 安哥拉, 寮國, 尼日利亞, 巴西, 巴貝多, 斯威士蘭, 新喀里多尼亞, 毛里求斯, 沙特阿拉伯, 法國, 法屬圭亞那, 法屬玻里尼西亞, 烏克蘭, 烏拉圭, 瓜德羅普島, 留尼汪島, 美國領地, 聖皮耶與密克隆群島, 萊索托, 馬其頓, 馬提尼克島
| 運費與處理費 | 每加一件物品 | 運送地點 | 運送方式 | 運送*查看送達備註 |
|---|---|---|---|---|
| 免運費 | 免費 | 美國 | Economy Shipping | 估計於 6月11日, 二至 6月22日, 六之間送達 運送地點 43230 |
| 處理時間 |
|---|
| 通常會在收到所有款項後的 10 個工作日內發貨。 |
| 稅項 |
|---|
| 賣家將對以下州別的買家收取銷售稅： |
物品編號 355325979140 的銷售稅
物品編號 355325979140 的銷售稅
賣家會對寄往以下各州的物品收取銷售稅：
| 州／省 | 銷售稅稅率 |
|---|
退貨政策
| 收到物品後聯絡賣家的期限： | 退款方式 |
|---|---|
| 14 日 | 退款 |
買家負責支付退貨運費。
賣家信用評價 （341,997）
f***l (230)- 買家留下的信用評價。
過去 1 個月
購買已獲認證
Great condition! Thanks
f***l (230)- 買家留下的信用評價。
過去 1 個月
購買已獲認證
Nice, great condition.
r***a (1254)- 買家留下的信用評價。
過去 1 個月
購買已獲認證
Fast shipping good product good comunications