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191222 r ||| eng |
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|a 9783110293609
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|a QA273
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|a Georgii, Hans-Otto
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|a Stochastics
|h Elektronische Ressource
|b Introduction to Probability and Statistics
|c Hans-Otto Georgii
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| 250 |
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|a 2nd rev. and ext. ed
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| 260 |
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|a Berlin
|b De Gruyter
|c 2012, [2012]©2013
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| 300 |
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|a 416 p.
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| 653 |
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|a Mathematical statistics
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| 653 |
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|a Mathematical statistics / Textbooks
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| 653 |
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|a Stochastic
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| 653 |
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|a Wahrscheinlichkeitsrechnung
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| 653 |
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|a (DE-601)105767441 / (DE-588)4121729-9 / Stochastik / gnd
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| 653 |
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|a Normal Distribution
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| 653 |
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|a Probabilities / Textbooks
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| 653 |
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|a Regression Analysis, Maximum-Likelihood
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| 653 |
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|a Stochastics
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| 653 |
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|a Law of Large Numbers
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| 653 |
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|a Central Limit Theorem
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| 653 |
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|a Textbooks
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| 653 |
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|a Probability Theory
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| 653 |
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|a Probability theory
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| 653 |
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|a Statistik
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| 653 |
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|a Confidence Intervals
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| 653 |
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|a Stochastic processes / Textbooks
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| 653 |
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|a Stochastic processes
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| 653 |
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|a Markov Chains
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| 653 |
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|a Statistics
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| 653 |
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|a MATHEMATICS / Probability & Statistics / General / bisacsh
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| 653 |
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|a Probabilities
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| 653 |
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|a Stochastik
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b GRUYMPG
|a DeGruyter MPG Collection
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| 490 |
0 |
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|a De Gruyter Textbook
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| 500 |
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|a Mode of access: Internet via World Wide Web
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| 028 |
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|a 10.1515/9783110293609
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| 773 |
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|t E-BOOK PACKAGE MATHEMATICS, PHYSICS, ENGINEERING 2012
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| 773 |
0 |
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|t DGBA Backlist Mathematics English Language 2000-2014
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| 773 |
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|t DGBA Backlist Complete English Language 2000-2014 PART1
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| 773 |
0 |
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|t E-BOOK GESAMTPAKET / COMPLETE PACKAGE 2012
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| 773 |
0 |
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|t DGBA Mathematics 2000 - 2014
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| 773 |
0 |
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|t E-BOOK PAKET MATHEMATIK, PHYSIK, INGENIEURWISS. 2012
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| 856 |
4 |
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|u https://www.degruyter.com/doi/book/10.1515/9783110293609?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 519.23
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| 520 |
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|a This textbook, now in its second revised and extended edition, presents the fundamental ideas and results of both probability theory and statistics. It comprises the material of a one-year course, which is addressed to students of mathematics and to scientists with an interest in the mathematical side of stochastics.The stochastic concepts, models and methods are motivated by examples and then developed and analysed systematically. Some measure theory is included, but this is done at an elementary level that is in accordance with the introductory character of the book. A large number of problems, now in part with solutions, offer applications and supplements to the text
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