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Statistical methods / Rudolf J. Freund, William J. Wilson and Donna L. Mohr

By: Material type: TextTextPublication details: Amsterdam : Elsevier Science, c2010Edition: 3rd EditionDescription: xxi, 796 pages : illustrations ; 24 cmISBN:
  • 9789380501758
Subject(s): LOC classification:
  • QA 276.12 .F74 2010
Contents:
Chapter1. Data and statistics -- Chapter2. Probability and sampling distributions -- Chapter3. Principles and inference -- Chapter4. Inferences on a single population -- Chapter5. Inferences for two populations -- Chapter6. Inference for two or more means -- Chapter7. Linear regression -- Chapter8. Multiple regression -- Chapter9. Factorial Experiments -- Chapter10. Design of experiments -- Chapter11. Other linear models -- Chapter12. Categorical data -- Chapter13. Special types of regression -- Chapter14. Nonparametric methods .
Summary: The goal of statistical method is to introduce the student both statistical reasoning and to the most commonly used statistical techniques. It is designed for undergraduates in statistics, engineering and quantitative science .
Item type: Books
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Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books National University - Manila LRC - Annex II General Circulation Gen. Ed. - CBA GC QA 276.12 .F74 2010 (Browse shelf(Opens below)) c.1 Available NULIB000014153

Wilson, William B.;Mohr, Donna R.

Includes index.

Chapter1. Data and statistics -- Chapter2. Probability and sampling distributions -- Chapter3. Principles and inference -- Chapter4. Inferences on a single population -- Chapter5. Inferences for two populations -- Chapter6. Inference for two or more means -- Chapter7. Linear regression -- Chapter8. Multiple regression -- Chapter9. Factorial Experiments -- Chapter10. Design of experiments -- Chapter11. Other linear models -- Chapter12. Categorical data -- Chapter13. Special types of regression -- Chapter14. Nonparametric methods .

The goal of statistical method is to introduce the student both statistical reasoning and to the most commonly used statistical techniques. It is designed for undergraduates in statistics, engineering and quantitative science .

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