000 01311aam a2200229 4500
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008 230419b |||||||| |||| 00| 0 eng d
020 _a9781119152729
040 _c
082 _a519.50285
_bTAT
100 _aTattar, Prabhanjan Narayanachar
_972115
245 _aA Course in Statistics with R
260 _bJohn Wiley & Sons Ltd.
_c2016
_aLondon
300 _a665p
500 _aPart 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
600 _aStatistics
_990920
600 _aStatistics with R
_990921
700 _aRamaiah, Suresh
_990922
700 _aManjunath, B. G.
_990923
942 _2ddc
_cLB
_mTAT
_k519.50285
999 _c141739
_d141739