Regression, ANOVA, and the general linear model : a statistics primer / Peter Vik, Idaho State University.
نوع المادة :
نصالناشر:Los Angeles, : SAGE, [2014]وصف:319 pages : illustrations ; 24 cmنوع المحتوى:- text
- unmediated
- volume
- 9781412997355 (pbk)
- QA279 V54 2014
| نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
|---|---|---|---|---|---|---|---|
كتاب
|
UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA279 V54 2014 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 300100309746 | ||
|
كتاب
|
UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA279 V54 2014 (إستعراض الرف(يفتح أدناه)) | C.2 | المتاح | 300100309729 |
Includes bibliographical references (page 299) and index.
Peter Vik{u2019}s Regression, ANOVA, and the General Linear Model: A Statistics Primer demonstrates basic statistical concepts from two different perspectives, giving the reader a conceptual understanding of how to interpret statistics and their use. The two perspectives are (1) a traditional focus on the t-test, correlation, and ANOVA, and (2) a model-comparison approach using General Linear Models (GLM). This book juxtaposes the two approaches by presenting a traditional approach in one chapter, followed by the same analysis demonstrated using GLM. By so doing, students will acquire a theoretical and conceptual appreciation for data analysis as well as an applied practical understanding as to how these two approaches are alike.
