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A Course in Statistics with R

By: Contributor(s): Material type: TextTextPublication details: John Wiley & Sons Ltd. 2016 LondonDescription: 665pISBN:
  • 9781119152729
Subject(s): DDC classification:
  • 519.50285 TAT
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Item type Current library Item location Collection Call number Status Date due Barcode Item holds
Reference Book Reference Book NIMA Knowledge Centre 7th Floor Silence Zone Reference 519.50285 TAT (Browse shelf(Opens below)) Not For Loan C0000486
Total holds: 0

Part I THE PRELIMINARIES
1. WhyR?
2. The R Basics
3. Data Preparation and Other Tricks
4. Exploratory Data Analysis
Part II PROBABILITY AND INFERENCE
5. Probability Theory
6. Probability and Sampling Distributions
7. Parametric Inference
8. Nonparametric Inference
9. Bayesian Inference
Part III STOCHASTIC PROCESSES AND MONTE CARLO
10. Stochastic Processes
11. Monte Carlo Computations
Part IV LINEAR MODELS
12. Linear Regression Models
13. Experimental Designs
14. Multivariate Statistical Analysis
15. Multivariate Statistical Analysis
16. Categorical Data Analysis
17. Generalized Linear Models

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