A course in statistics with R / Prabhanjan Tattar, Suresh Ramaiah, B.G. Manjunath. 6

By: Tattar, Prabhanjan, 4 0 16, 1979- [, ] | [, ] |
Contributor(s): 5 6 [] |
Language: Unknown language code Summary language: Unknown language code Original language: Unknown language code Series: ; Chichester, West Sussex : Wiley, [2016]46Edition: Description: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781119152750 (ePub);1119152755 (ePub);9781119152736 (Adobe PDF);1119152739 (Adobe PDF);9781119152743;1119152747ISSN: 2Other title: 6 []Uniform titles: | | Related works: 1 40 1979-;1981- Ramaiah, Suresh,;Manjunath, B. G., 6 []Subject(s): -- 2 -- 0 -- -- | -- 2 -- 0 -- 6 -- | 2 0 -- | -- -- 20 -- | | -- -- Data processing. Mathematical statistics;R (Computer program language). -- -- 20 -- | -- -- -- 20 -- --Genre/Form: Electronic books. -- 2 -- Additional physical formats: Course in statistics with RDDC classification: | 519.50285/511 LOC classification: | QA276.45.R3 | 2Other classification:
Contents:
The Preliminaries. Why R? -- The R Basics -- Data Preparation and Other Tricks -- Exploratory Data Analysis -- Probability and Inference. Probability Theory -- Probability and Sampling Distributions -- Parametric Inference -- Nonparametric Inference -- Bayesian Inference -- Stochastic Processes and Monte Carlo. Stochastic Processes -- Monte Carlo Computations -- Linear Models. Linear Regression Models -- Experimental Designs -- Multivariate Statistical Analysis - I -- Multivariate Statistical Analysis - II -- Categorical Data Analysis -- Generalized Linear Models -- Appendix A: Open Source Software: An Epilogue -- Appendix B: The Statistical Tables.
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56

Includes bibliographical references and index.

The Preliminaries. Why R? -- The R Basics -- Data Preparation and Other Tricks -- Exploratory Data Analysis -- Probability and Inference. Probability Theory -- Probability and Sampling Distributions -- Parametric Inference -- Nonparametric Inference -- Bayesian Inference -- Stochastic Processes and Monte Carlo. Stochastic Processes -- Monte Carlo Computations -- Linear Models. Linear Regression Models -- Experimental Designs -- Multivariate Statistical Analysis - I -- Multivariate Statistical Analysis - II -- Categorical Data Analysis -- Generalized Linear Models -- Appendix A: Open Source Software: An Epilogue -- Appendix B: The Statistical Tables.

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