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Regression, ANOVA, and the general linear model: a statistics primer
Material type:
TextPublication details: California Sage Publications, Inc. 2014 Description: xxi, 319 pISBN: 9781412997355Subject(s): Regression analysis | Analysis of variance | Linear models (Statistics)DDC classification: 519.5 Summary: The goal of this book is to demonstrate basic statistical concepts from two different perspectives, giving the reader a conceptual understanding of how to interpret statistics and their use. Those two perspectives are a focus on the traditional tests that are used such as t-test, correlation and ANOVA, and a model-comparison approach using General Linear Methods. This text is intended for upper-level undergraduate courses, or first year graduate students. It is not for courses where students have no basic understanding of statistics.
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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Indian Institute of Management LRC General Stacks | Operations Management & Quantitative Techniques | 519.5 VIK (Browse shelf(Opens below)) | 1 | Available | 002293 |
The goal of this book is to demonstrate basic statistical concepts from two different perspectives, giving the reader a conceptual understanding of how to interpret statistics and their use. Those two perspectives are a focus on the traditional tests that are used such as t-test, correlation and ANOVA, and a model-comparison approach using General Linear Methods. This text is intended for upper-level undergraduate courses, or first year graduate students. It is not for courses where students have no basic understanding of statistics.
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