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Applied Regression Analysis and Other Multivariable Methods
David Kleinbaum
€ 320.15
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Description for Applied Regression Analysis and Other Multivariable Methods
Hardback. Helps you learn regression-analysis methods that you can apply to real-life problems. This title highlights the role of the computer in contemporary statistics with numerous printouts and exercises that you can solve using the computer. Num Pages: 1072 pages, illustrations (black and white). BIC Classification: PBT. Category: (G) General (US: Trade). Dimension: 237 x 195 x 43. Weight in Grams: 1720.
This bestseller will help you learn regression-analysis methods that you can apply to real-life problems. It highlights the role of the computer in contemporary statistics with numerous printouts and exercises that you can solve using the computer. The authors continue to emphasize model development, the intuitive logic and assumptions that underlie the techniques covered, the purposes, advantages, and disadvantages of the techniques, and valid interpretations of those techniques. Available with InfoTrac® Student Collections http://gocengage.com/infotrac.
This bestseller will help you learn regression-analysis methods that you can apply to real-life problems. It highlights the role of the computer in contemporary statistics with numerous printouts and exercises that you can solve using the computer. The authors continue to emphasize model development, the intuitive logic and assumptions that underlie the techniques covered, the purposes, advantages, and disadvantages of the techniques, and valid interpretations of those techniques. Available with InfoTrac® Student Collections http://gocengage.com/infotrac.
Product Details
Publisher
Cengage Learning, Inc
Number of pages
928
Format
Hardback
Publication date
2013
Condition
New
Weight
1761g
Number of Pages
1072
Place of Publication
CA, United States
ISBN
9781285051086
SKU
V9781285051086
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-10
Reviews for Applied Regression Analysis and Other Multivariable Methods
1. CONCEPTS AND EXAMPLES OF RESEARCH. Concepts. Examples. Concluding Remarks. References. 2. CLASSIFICATION OF VARIABLES AND THE CHOICE OF ANALYSIS. Classification of Variables. Overlapping of Classification Schemes. Choice of Analysis. References. 3. BASIC STATISTICS: A REVIEW. Preview. Descriptive Statistics. Random Variables and Distributions. Sampling Distributions of t, ?O2, and F. Statistical Inference: Estimation. Statistical Inference: Hypothesis Testing. Error Rate, Power, ... Read more