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Balakrishnan N., Nevzorov V.B. — A Primer on Statistical Distributions
Balakrishnan N., Nevzorov V.B. — A Primer on Statistical Distributions



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Название: A Primer on Statistical Distributions

Авторы: Balakrishnan N., Nevzorov V.B.

Аннотация:

Designed as an introduction to statistical distribution theory.
* Includes a first chapter on basic notations and definitions that are essential to working with distributions.
* Remaining chapters are divided into three parts: Discrete Distributions, Continuous Distributions, and Multivariate Distributions.
* Exercises are incorporated throughout the text in order to enhance understanding of materials just taught.


Язык: en

Рубрика: Математика/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Год издания: 2003

Количество страниц: 328

Добавлена в каталог: 09.10.2007

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID
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Предметный указатель
Kotz, S.      xv 98 148 169 281 290 291
Koutras, M.V.      72 289
Kozubowski, T.J.      169 291
Krasner, M.      36 291
Kronecker, L.      290
Krysicki, W.      148 156 291
kurtosis      7 8 44 45 52 53 66 76 91 110 125 129 147 154 160 172 182 201 238 241 283
Lack of memory property      71 167
Lagrangian — Poisson distribution      100
Lancaster, H.O.      240 292
Laplace distribution      165 169—177 191 204 214 236 282
Laplace distribution, Characteristic function      170
Laplace distribution, Convolutions      173
Laplace distribution, Decompositions      174
Laplace distribution, Entropy      172
Laplace distribution, Introduction      169
Laplace distribution, Moments      171
Laplace distribution, Notations      169 170
Laplace distribution, Shape characteristics      172
Laplace transform      158 159 164 179 181
Laplace, P.S.      169 282 292
Lattice distribution      29
Lau — Rao characterization theorem      285
Law of Large Numbers      277
Least squares method      211
Leptokurtic distribution      8 53 66 76 91 147 160 172 182 201 238 241
Life-time data analysis      184 196
Light-tailed distribution      286
Limit process      152
Limit theorems      256 257
Limiting distribution      37 39 59—61 81 88 96 182 187—193 209 228 256—259 280 286
Linear combinations      220—228 262 263
Linear dependence      265
Linear regression      268
Linnik distribution      235—237 282
Linnik, Yu.V.      237 282 285 292
Liouville integral formula      276
Liouville, J.      276 292
Location parameter      4 6 30 127 134 158 169 184 190 198 211 216 220 272
Log — Weibull distribution      191
Log-gamma distribution      184 207
Log-logistic distribution      277
Logarithmic distribution      99
Logistic distribution      197—207 277
Logistic distribution, Characteristic function      201
Logistic distribution, Decompositions      204
Logistic distribution, Generalized logistic distributions      205—207
Logistic distribution, Introduction      197
Logistic distribution, Moments      199—201
Logistic distribution, Notations      197 198
Logistic distribution, Order statistics      205
Logistic distribution, Relationships with other distributions      203
Logistic distribution, Shape characteristics      201
Lognormal distribution      233 234 281
Lukacs, E.      186 292
Marcinkiewicz, J.      214 228 292
Marginal distribution function      16—18 21 250—252 266 273
Marsaglia, G.      186 292
Maxima      46 47 113 114 127 128 189—191 193 228 280
Maximal sum      152
Maxwell distribution      232 282
Maxwell, J.C      282
Mean      5 8 30 72 100 103 115 118 153 154 192 203 205 211 216 217 220 233 234 239 241 245 246 255
Mean vector      19 257 261 265
Measurable function      20 21
Mesokurtic distribution      8 53 147
Minima      113 114 134 162 189—191 286
Mixture distribution      57 58 96—99
Moment generating function      12 184
Moments      4 7 8 12 30—33 39 40 44 45 50—53 64—67 74—76 84—87 90 91 108—110 118 120 124 125 129 136 137 141—146 153—155 159 160 171 174 175 181 182 184 186 194—196 199—201 206 215 216 228 234 237 241 245 252—254
Moments about p      125
Moments about zero      4—6 30 44 50 52 65 75 87 91 108 124 129 136 145 153 155 159 171 181 199 200 215 216
Moments of negative order      146 181
Moments, central      5 6 8 30 44 50 52 66 76 91 109 124 125 136 137 145 153 155 160 171 182 200 216
Moments, Factorial      6 7 10 30 31 51 64 65 74 75 86 90
Moments, Marginal      274
Moments, Product      19 176 274
Moments, Second-order      260 261
Monte Carlo evaluation      286
Muller, M.E.      229 289
Multinomial distribution      249—257 259
Multinomial distribution, Compositions      250
Multinomial distribution, Conditional distributions      251 252
Multinomial distribution, Generating function and characteristic function      254 255
Multinomial distribution, Introduction      249
Multinomial distribution, Limit theorems      256 257
Multinomial distribution, Marginal distributions      250 251
Multinomial distribution, Moments      252—254
Multinomial distribution, Notations      250
Multinomial trials      249—251
Multiple regression      254
Multivariate normal distribution      257 259—268
Multivariate normal distribution, Bivariate normal distribution      265—268
Multivariate normal distribution, Distributions of sums      262
Multivariate normal distribution, Independence of components      263
Multivariate normal distribution, Introduction      259 260
Multivariate normal distribution, Linear combinations of components      262 263
Multivariate normal distribution, Linear transformations      264 265
Multivariate normal distribution, Marginal distributions      262
Multivariate normal distribution, Notations      260 261
Negative binomial distribution      69 70 73—81 89 102 209 228
Negative binomial distribution, Convolutions and decompositions      76—80
Negative binomial distribution, Generating function and characteristic function      74
Negative binomial distribution, Introduction      73 74
Negative binomial distribution, Limiting distributions      81
Negative binomial distribution, Moments      74—76
Negative binomial distribution, Notations      74
Negative binomial distribution, Tail probabilities      80
Negative hypergeometric distribution      102 103
Nevzorov, V.B.      xvi
Neyman — Pearson approach      283
Neyman, J.      283
Ng, K.W.      281
Noncentral distributions      246
Noncentral distributions, Chi-square      246
Noncentral distributions, F      246
Noncentral distributions, t      246
Noncentrality parameter      246
Normal distribution      8 39 53 61 76 81 91 96 170 182 188 207 209—235 239—241 246 257 266 279 282 286
Normal distribution, Asymptotic relations      228
Normal distribution, Bernstein's theorem      221—223
Normal distribution, characteristic function      214 215
Normal distribution, Conditional distributions      219 220
Normal distribution, Convolutions and decompositions      217—219
Normal distribution, Darmois — Skitovitch's theorem      224 226
Normal distribution, Entropy      211
Normal distribution, Helmert's transformation      226 227
Normal distribution, Identity of distributions of linear combinations      227 228
Normal distribution, Independence of linear combinations      220 221
Normal distribution, Introduction      209 210
Normal distribution, Mode      211
Normal distribution, Moments      215 216
Normal distribution, Notations      210 211
Normal distribution, Shape characteristics      217
Normal distribution, Tail behavior      212—214
Normal distribution, Transformations      229—234
Normalized extremes      189—191
Normalized sums      228
Normalizing constants      189—191
Ord, J.K.      xv 290 293
Order statistics      114—117 128 135 139 140 157 163 164 174—176 187 205 226 269
Order-preserving transformation      117
Orthogonal linear transformation      264
Orthogonal matrix      264
Panjer, H.H.      74 291
Pareto distribution      133—138 141 283
Pareto distribution, Distributions of minimal values      134 135
Pareto distribution, Entropy      137
Pareto distribution, Introduction      133
Pareto distribution, Moments      136 137
Pareto distribution, Notations      133
Pareto, V.      283
Pascal distribution      74 102 283
Pascal, B.      283
Patel, J.K.      210 292
Patil, G.P.      98 290 293
Peacock, B.      xv 290
Pearson family of distributions      281 283 284
Pearson plane      184
Pearson, E.S.      278 281 283
Pearson, K.      8 283 284 292
Perks, W.F.      206 292
Platykurtic distribution      8 53 110 125 147 154
Podgorski, K.      169 291
Poisson distribution      39 60 61 81 88—100 179 180 209 219 228 256 284 285
Poisson distribution, Conditional probabilities      94 95
Poisson distribution, Convolutions      92
Poisson distribution, Decompositions      92
Poisson distribution, Generating function and characteristic function      90
Poisson distribution, Introduction      89
Poisson distribution, Limiting distribution      96
Poisson distribution, Maximal probability      95
Poisson distribution, Mixtures      96—99
Poisson distribution, Moments      90 91
Poisson distribution, Notations      89
Poisson distribution, Rao — Rubin characterization      99
Poisson distribution, Tail probabilities      91 92
Poisson, S.-D.      284
Poisson-stopped-sum distribution      98—100
Polar coordinates      229
Polar transformation      229
Polya criterion      126
Polya distribution      101 102 284
Polya urn scheme      102 103
Power      246
Power distribution      127—133 135 136 140 147 149
Power distribution, Characteristic function      131
Power distribution, Distributions of maximal values      128
Power distribution, Entropy      131
Power distribution, Introduction      127
Power distribution, Moments      129
Power distribution, Notations      127
Probability integral transform      112 155 203
Probability measure      1 15
Probability space      1 3 15
Proctor, J.W.      114 292
Quadratic form      259—261
Quantile density function      3
Quantile function      3 242
Queueing theory      39
Raikov, D.      36 92 292
random number generation      30 112
Random processes      152
Ranulac, B.      36 291
Rao — Rubin characterization      99 285
Rao, C.R.      99 282 285 293
Rayleigh      285
Rayleigh distribution      192 229 232 277 285
Read, C.B.      210 292
Rectangular distribution      108
Recurrence relation      131 160 175—177 180
Regression      21 253 268
Reliability problems      196
Reproductive property      231
Restricted generalized Poisson distribution      100
Reverse J-shaped      160
Richards, D.St.P.      270 276 290
Riemann zeta function      200
Robustness      286
Rubin, H.      99 293
Run-related distributions      72
Ryzhik, I.M.      31 290
Same type of distribution      4 6 30
Sample mean      225 238 240 246
Sample variance      225
Sarabia, J.-M.      18 289
Scale parameter      4 30 127 134 158 169 173 184 185 190 198 211 216 272
Sech-squared distribution      198
Second law of Laplace      211
Sen, A.      68 293
Service times      39
Seshadri, V.      238 293
Shanbhag, D.N.      285
Shape parameter      127 134 182 184 286
Shepp's result      230
Shepp, L.      230 293
Shimizu, K.      234 290
Skewed distribution      7 8 66 76 91 125 147 160 182 206 207 238
Skewed distribution, Negatively      8 125 147 206 207
Skewed distribution, Positively      8 66 76 91 125 147 160 182 206 238
skewness      7 8 44 52 53 66 76 91 110 125 129 147 154 160 172 182 201 238 241 283
Skitovitch, V.P.      224 293
Snedecor distribution      286
Snedecor, G. W.      245 285 286 293
Spacings      146 163
Srivastava, A.B.L.      99 293
Srivastava, R.C      99 293
Stable distribution      14 121 214 233 236
Standard deviation      233
Statistical modelling      3
Stuart, A.      xv 293
Stuttering Poisson distribution      98
Symmetric distribution      8 44 140 154 169 171—173 176 201 205 207 241
Symmetric positive definite matrix      259 260
Symmetric uniform distribution      110 126
t distribution      8 232 240—245 280 286
t test      246 280
Tail probabilities      59 64 80 91 92
Theorem of total probability      57
Theory of errors      211
Tippett, L.H.C      280
Tong, Y.L.      259 293
Transformation      24 25 121 140 141 151 157 170 210 229—234 264 265 269—273 275 286
Triangular distribution      111 117 123—126
Triangular distribution, Characteristic function      125 126
Triangular distribution, Introduction      123
Triangular distribution, Moments      124 125
Triangular distribution, Notations      123
Trinomial distribution      250
Truncated distribution      204
Tukey's lambda distribution      118
Tukey's symmetric lambda distribution      118 286
Tukey, J.W.      118 286 293
Two-tailed exponential distribution      170
Type III line      184
Type VI distribution      245
Type VII distribution      240
U-shaped curve      141 151 154
Uniform distribution      37 107—119 123 127 128 131 133 136 139 140 147 149 163 164 186 187 189 203 229 231 269 270 277 286
Uniform distribution, Characteristic function      110
Uniform distribution, Convolutions      111
Uniform distribution, Decompositions      111
Uniform distribution, Distributions of minima and maxima      113
Uniform distribution, Entropy      110
Uniform distribution, Introduction      107
Uniform distribution, Moments      108
Uniform distribution, Notations      107
Uniform distribution, Order statistics      114—117
Uniform distribution, Probability integral transform      112
Uniform distribution, Relationships with other distributions      117 118
Uniform spacings      146 269 270
Unimodal distribution      7
Urn interpretation      84
Variance      5 7 20 30 40 44 50 52 72 100 103 109 115 118 124 129 137 145 154 160 164 171 182 192 203 205 211 216 217 220 227 234 239 241 245 246 255 259 268
Verhulst, P.J.      197 293
Volkmer, H.      230 289
von Mises, R.      280
Weibull, W.      286
Weibull-type distribution      191 229 287
Weighted distribution      28
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