A Course in Statistics with R

By:

Tattar, Prabhanjan Narayanachar

Contributor(s):

Material type: Text

TextPublication details: John Wiley & Sons Ltd. 2016 LondonDescription: 665pISBN:

9781119152729

Subject(s):

DDC classification:

519.50285 TAT

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Holdings
Item type	Current library	Item location	Collection	Call number	Status	Date due	Barcode	Item holds
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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