Lagrangian Probability Distributions

Front Cover
Springer Science & Business Media, Dec 6, 2005 - Mathematics - 352 pages

Lagrangian expansions can be used to obtain numerous useful probability models, which have been applied to real life situations including, but not limited to: branching processes, queuing processes, stochastic processes, environmental toxicology, diffusion of information, ecology, strikes in industries, sales of new products, and production targets for optimum profits. This book presents a comprehensive, systematic treatment of the class of Lagrangian probability distributions, along with some of its families, their properties, and important applications.

Key features:

* Fills a gap in book literature

* Examines many new Lagrangian probability distributions, their numerous families, general and specific properties, and applications to a variety of different fields

* Presents background mathematical and statistical formulas for easy reference

* Detailed bibliography and index

* Exercises in many chapters

Graduate students and researchers with a good knowledge of standard statistical techniques and an interest in Lagrangian probability distributions will find this work valuable. It may be used as a reference text or in courses and seminars on Distribution Theory and Lagrangian Distributions. Applied scientists and researchers in environmental statistics, reliability, sales management, epidemiology, operations research, optimization in manufacturing and marketing, and infectious disease control will benefit immensely from the various applications in the book.

 

Contents

V
1
VI
4
VII
5
VIII
7
IX
9
X
10
XI
13
XIII
14
CXX
175
CXXII
176
CXXIII
177
CXXV
179
CXXVI
180
CXXVII
182
CXXVIII
185
CXXIX
186

XIV
15
XV
16
XVI
18
XVIII
19
XIX
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XX
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XXI
30
XXII
33
XXIII
36
XXV
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XXVI
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XXVII
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XXIX
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XXX
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XXXI
48
XXXII
51
XXXIII
56
XXXIV
60
XXXV
61
XXXVI
62
XXXVII
66
XXXVIII
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XXXIX
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XL
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XLII
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XLIII
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XLIV
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XLV
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XLVI
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XLVII
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XLVIII
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XLIX
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L
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LII
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LIII
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LIV
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LVI
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LVII
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LIX
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LX
94
LXI
100
LXII
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LXIII
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LXIV
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LXVI
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LXVIII
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LXIX
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LXXI
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LXXII
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LXXIII
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LXXIV
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LXXV
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LXXVI
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LXXVII
116
LXXVIII
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LXXIX
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LXXX
121
LXXXI
122
LXXXIII
125
LXXXIV
128
LXXXVI
130
LXXXVII
132
LXXXIX
136
XC
137
XCI
140
XCII
143
XCIII
144
XCIV
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XCVI
146
XCVII
148
XCVIII
150
XCIX
151
C
152
CII
153
CIII
154
CIV
157
CV
158
CVII
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CIX
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CX
161
CXI
162
CXII
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CXIII
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CXIV
167
CXVI
170
CXIX
173
CXXX
187
CXXXI
188
CXXXIII
189
CXXXV
191
CXXXVI
192
CXXXVIII
194
CXXXIX
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CXL
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CXLI
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CXLII
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CXLIII
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CXLIV
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CXLV
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CXLVI
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CXLVII
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CXLVIII
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CXLIX
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CLI
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CLII
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CLIII
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CLIV
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CLV
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CLVI
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CLVIII
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CLIX
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CLXI
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CLXII
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CLXIII
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CLXIV
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CLXV
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CLXVI
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CLXVIII
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CLXIX
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CLXX
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CLXXI
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CLXXII
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CLXXIV
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CLXXV
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CLXXVI
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CLXXVII
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CLXXVIII
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CLXXIX
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CLXXX
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CLXXXI
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CLXXXII
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CLXXXIII
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CLXXXIV
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CLXXXV
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CLXXXVI
275
CLXXXVII
276
CLXXXVIII
280
CLXXXIX
281
CXC
282
CXCI
283
CXCIII
284
CXCIV
286
CXCV
287
CXCVI
288
CXCVII
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CXCVIII
290
CXCIX
293
CC
297
CCI
299
CCIII
300
CCV
301
CCVI
302
CCVII
303
CCVIII
304
CCXI
305
CCXII
307
CCXIII
308
CCXIV
312
CCXVI
313
CCXVII
314
CCXVIII
315
CCXIX
317
CCXX
318
CCXXI
319
CCXXII
321
CCXXIII
324
CCXXIV
326
CCXXV
330
CCXXVI
334
CCXXVII
337
CCXXVIII
347
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Page 337 - Sur l'emploi du théorème de Bernoulli pour faciliter le calcul d'une infinité de coefficients. Application au problème de l'attente à un guichet.
Page 337 - A note on the moments of the generalized negative binomial distribution and on certain properties of this distribution.
Page 346 - An efficient method for generating discrete random variables with general distributions.
Page 337 - Random mappings with an attracting center: Lagrangian distributions and a regression function. J.
Page 337 - Abramowitz, M. and IA Stegun, 1965, Handbook of Mathematical Functions, Dover Publications, Inc., New York. 2. Hayashi, T., T. Kano and M. Shirai, 1966, "Hydraulic research on the closely spaced pile breakwater,

References to this book

Handbook of Algebra
M. Hazewinkel
Limited preview - 2008

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