Comparative Statistical InferenceJohn Wiley & Sons, 3 серп. 1999 р. - 410 стор. This fully updated and revised third edition, presents a wide ranging, balanced account of the fundamental issues across the full spectrum of inference and decision-making. Much has happened in this field since the second edition was published: for example, Bayesian inferential procedures have not only gained acceptance but are often the preferred methodology. This book will be welcomed by both the student and practising statistician wishing to study at a fairly elementary level, the basic conceptual and interpretative distinctions between the different approaches, how they interrelate, what assumptions they are based on, and the practical implications of such distinctions. As in earlier editions, the material is set in a historical context to more powerfully illustrate the ideas and concepts.
Written by a well-known and respected author, the essence of this successful book remains unchanged providing the reader with a thorough explanation of the many approaches to inference and decision making. |
Зміст
V | 1 |
VII | 4 |
VIII | 7 |
IX | 13 |
X | 15 |
XI | 19 |
XII | 23 |
XIII | 29 |
LXII | 189 |
LXIII | 191 |
LXIV | 192 |
LXV | 194 |
LXVI | 195 |
LXVII | 197 |
LXVIII | 201 |
LXIX | 203 |
XIV | 32 |
XV | 33 |
XVI | 43 |
XVII | 47 |
XX | 53 |
XXI | 54 |
XXII | 62 |
XXIII | 65 |
XXIV | 73 |
XXV | 76 |
XXVI | 81 |
XXVII | 84 |
XXVIII | 92 |
XXX | 94 |
XXXI | 95 |
XXXII | 96 |
XXXIII | 97 |
XXXIV | 98 |
XXXV | 99 |
XXXVI | 101 |
XXXVII | 106 |
XXXVIII | 108 |
XXXIX | 110 |
XL | 111 |
XLII | 113 |
XLIII | 115 |
XLIV | 116 |
XLV | 119 |
XLVI | 123 |
XLVII | 125 |
XLVIII | 127 |
XLIX | 131 |
L | 137 |
LII | 144 |
LIII | 152 |
LIV | 162 |
LV | 165 |
LVI | 166 |
LVII | 171 |
LVIII | 177 |
LIX | 181 |
LX | 185 |
LXI | 186 |
LXX | 207 |
LXXI | 217 |
LXXII | 219 |
LXXIII | 220 |
LXXIV | 225 |
LXXV | 228 |
LXXVI | 230 |
LXXVII | 234 |
LXXVIII | 235 |
LXXIX | 238 |
LXXXI | 240 |
LXXXII | 242 |
LXXXIV | 245 |
LXXXV | 247 |
LXXXVI | 251 |
LXXXVII | 253 |
LXXXVIII | 262 |
LXXXIX | 264 |
XCI | 265 |
XCII | 269 |
XCIII | 270 |
XCIV | 275 |
XCV | 278 |
XCVI | 279 |
XCVII | 286 |
XCIX | 287 |
C | 289 |
CI | 292 |
CII | 297 |
CIII | 298 |
CIV | 306 |
CV | 311 |
CVI | 313 |
CVII | 319 |
CVIII | 322 |
CIX | 325 |
CX | 326 |
CXI | 327 |
CXII | 331 |
CXIII | 337 |
365 | |
Загальні терміни та фрази
action alternative analysis ancillarity application approach to inference appropriate arise assessment attitude basic basis batch Bayesian approach Bayesian inference Bayesian methods behaviour Bernardo and Smith Chapter choice classical approach classical statistics components confidence interval conjugate prior consequences consider construction decision rule decision theory degree-of-belief detailed discussion example expressed fiducial Fisher formal frequency interpretation hypothesis testing idea implies inference and decision-making inferential likelihood function likelihood principle Lindley mathematical maximum likelihood measure minimise Neyman observed obtain optimum particular pe(x point estimation possible posterior distribution principle prior distribution prior ignorance prior information prior probabilities probability concept probability density probability distribution probability theory problem procedure provides random sample random variable reference rejecting H relevant risk risk function sample data sample space Section specific statistical inference subjective probability sufficient statistic Suppose test of significance tion utility function utility theory variance view of probability
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Univariate Discrete Distributions Norman L. Johnson,Adrienne W. Kemp,Samuel Kotz Обмежений попередній перегляд - 2005 |