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Preface xi
A note to the student (and instructor) xvi
A note to the instructor (and student) xviii
Acknowledgements xxi
Introduction 1
Basic Probability 7
Combinatorics 9
Basic counting 9
Generalized binomial coefficients 13
Combinatoric identities and the use of induction 15
The binomial and multinomial theorems 18
The binomial theorem 18
An extension of the binomial theorem 23
The multinomial theorem 27
The gamma and beta functions 28
The gamma function 28
The beta function 31
Problems 36
Probability spaces and counting 43
Introducing counting and occupancy problems 43
Probability spaces 47
Introduction 47
Definitions 49
Properties 58
Basic properties 58
Advanced properties 59
A theoretical property 67
Problems 68
Symmetric spaces and conditioning 73
Applications withsymmetric probability spaces 73
Conditional probability and independence 85
Total probability and Bayes' rule 87
Extending the law of total probability 93
Statistical paradoxes and fallacies 96
The problem of the points 97
Three solutions 97
Further gambling problems 99
Some historical references 100
Problems 101
Discrete Random Variables 111
Univariate random variables 113
Definitions and properties 113
Basic definitions and properties 113
Further definitions and properties 117
Discrete sampling schemes 120
Bernoulli and binomial 121
Hypergeometric 123
Geometric and negative binomial 125
Inverse hypergeometric 128
Poisson approximations 130
Occupancy distributions 133
Transformations 140
Moments 141
Expected value of X 141
Higher-order moments 143
Jensen's inequality 151
Poisson processes 154
Problems 156
Multivariate random variables 165
Multivariate density and distribution 165
Joint cumulative distribution functions 166
Joint probability mass and density functions 168
Fundamental properties of multivariate random variables 171
Marginal distributions 171
Independence 173
Exchangeability 174
Transformations 175
Moments 176
Discrete sampling schemes 182
Multinomial 182
Multivariate hypergeometric 188
Multivariate negative binomial 190
Multivariate inverse hypergeometric 192
Problems 194
Sums of random variables 197
Mean and variance 197
Use of exchangeable Bernoulli random variables 199
Examples with birthdays 202
Runs distributions 206
Random variable decomposition 218
Binomial, negative binomial and Poisson 218
Hypergeometric 220
Inverse hypergeometric 222
General linear combination of two random variables 227
Problems 232
Continuous Random Variables 237
Continuous univariate random variables 239
Most prominent distributions 239
Other popular distributions 263
Univariate transformations 269
Examples of one-to-one transformations 271
Many-to-one transformations 273
The probability integral transform 275
Simulation 276
Kernel density estimation 277
Problems 278
Joint and conditional random variables 285
Review of basic concepts 285
Conditional distributions 290
Discrete case 291
Continuous case 292
Conditional moments 304
Expected shortfall 310
Independence 311
Computing probabilities via conditioning 312
Problems 317
Multivariate transformations 323
Basic transformation 323
The t and F distributions 329
Further aspects and important transformations 333
Problems 339
Appendices 343
Calculus review 343
Recommended reading 343
Sets, functions and fundamental inequalities 345
Univariate calculus 350
Limits and continuity 351
Differentiation 352
Integration 364
Series 382
Multivariate calculus 413
Neighborhoods and open sets 413
Sequences, limits and continuity 414
Differentiation 416
Integration 425
Notation tables 435
Distribution tables 441
References 451
Index 461
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Add Fundamental Probability, Probability is a vital measure in numerous disciplines, from bioinformatics and econometrics to finance/insurance and computer science. Developed from a successful course, Fundamental Probability provides an engaging and hands-on introduction to th, Fundamental Probability to the inventory that you are selling on WonderClubX
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Add Fundamental Probability, Probability is a vital measure in numerous disciplines, from bioinformatics and econometrics to finance/insurance and computer science. Developed from a successful course, Fundamental Probability provides an engaging and hands-on introduction to th, Fundamental Probability to your collection on WonderClub |