Statistics: an introduction using R

By:

Crawley, Michael J

Material type: Text

TextPublication details: New Delhi Wiley 2014Description: xiii,327p. 24cm, HardISBN:

9788126549061

Subject(s):

Mathematical Statistics R Computer Program Language

DDC classification:

519.5 CRA

Contents:

1. Front Matter (pages i–xiii) Chapter 1 Fundamentals (pages 1–14) Chapter 2 Dataframes (pages 15–22) Chapter 3 Central Tendency (pages 23–31) Chapter 4 Variance (pages 33–49) Chapter 5 Single Samples (pages 51–72) Chapter 6 Two Samples (pages 73–102) Chapter 7 Statistical Modelling (pages 103–124) Chapter 8 Regression (pages 125–154) Chapter 9 Analysis of Variance (pages 155–185) Chapter 10 Analysis of Covariance (pages 187–194) Chapter 11 Multiple Regression (pages 195–208) Chapter 12 Contrasts (pages 209–226) Chapter 13 Count Data (pages 227–245) Chapter 14 Proportion Data (pages 247–262) Chapter 15 Death and Failure Data (pages 263–268) Chapter 16 Binary Response Variable (pages 269–280)

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	H.T. Parekh Library	GSB Collection	519.5 CRA (Browse shelf(Opens below))	Available		B1878

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Previous	519.5 BOX Statistics for experimenters: design, innovative and discovery	519.5 CAR Applied statistical methods: for business economics and the social sciences	519.5 CIL Statistical tools for finance and insurance	519.5 CRA Statistics: an introduction using R	519.5 DES Nonparametric statistical methods for complete and censored data	519.5 FAR Linear models with R	519.5 FER Multiscale modeling:A Bayesian perspective.	Next

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1. Front Matter (pages i–xiii)
Chapter 1
Fundamentals (pages 1–14)
Chapter 2
Dataframes (pages 15–22)
Chapter 3
Central Tendency (pages 23–31)
Chapter 4
Variance (pages 33–49)
Chapter 5
Single Samples (pages 51–72)
Chapter 6
Two Samples (pages 73–102)
Chapter 7
Statistical Modelling (pages 103–124)
Chapter 8
Regression (pages 125–154)
Chapter 9
Analysis of Variance (pages 155–185)
Chapter 10
Analysis of Covariance (pages 187–194)
Chapter 11
Multiple Regression (pages 195–208)
Chapter 12
Contrasts (pages 209–226)
Chapter 13
Count Data (pages 227–245)
Chapter 14
Proportion Data (pages 247–262)
Chapter 15
Death and Failure Data (pages 263–268)
Chapter 16
Binary Response Variable (pages 269–280)

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