Author(s): William M. Bolstad, James M. Curran
Edition: 3rd
Publisher: Wiley
Year: 2016
Language: English
Pages: 617
Cover......Page 1
Contents......Page 7
Preface......Page 13
1 Introduction to Statistical Science......Page 17
2 Scientific Data Gathering......Page 29
3 Displaying and Summarizing Data......Page 47
4 Logic, Probability, and Uncertainty......Page 75
5 Discrete Random Variables......Page 99
6 Bayesian Inference for Discrete Random Variables......Page 125
7 Continuous Random Variables......Page 145
8 Bayesian Inference for Binomial Proportion......Page 165
9 Comparing Bayesian and Frequentist Inferences for Proportion......Page 185
10 Bayesian Inference for Poisson......Page 209
11 Bayesian Inference for Normal Mean......Page 227
12 Comparing Bayesian and Frequentist Inferences for Mean......Page 253
13 Bayesian Inference for Difference Between Means......Page 271
14 Bayesian Inference for Simple Linear Regression......Page 299
15 Bayesian Inference for Standard Deviation......Page 331
16 Robust Bayesian Methods......Page 353
17 Bayesian Inference for Normal with Unkown Mean and Variance......Page 371
18 Bayesian Inference for Mulrivariate Normal Mean Vector......Page 409
19 Bayesian Inference for the Multiple Linear Regression Model......Page 427
20 Computational Bayesian Statistics Including Markov Chain Monte Carlo......Page 447
A Introduction to Calculus......Page 493
B Use of Statistical Tables......Page 513
C Using the Included Minitab Macros......Page 539
D Using the Included R Functions......Page 559
E Answers to Selected Exercises......Page 581
References......Page 607
Index......Page 611
