Preamble
发表于 2025-3-25 03:35:43
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Insufficient
发表于 2025-3-25 09:26:23
tuarial mathematicians, reliabilty engineers and biologists). Much of the material has so far only been available in the journal literature (if at all), and so a wide variety of researchers will find this an invaluable survey of the subject.."This book is a masterful account of the counting process
表示向下
发表于 2025-3-25 14:16:14
Ulrich Herold,Lothar Moser,Gerd Schmittnd references are provided for those interested in exploring the details. A number of questions and issues are posed for further investigations. Researchers and students may find many ideas in this book useful in their academic work, as a foundation is laid for the exploration of many further theoretical and 978-1-4615-1015-4
Synthesize
发表于 2025-3-25 16:09:19
Jürgen Schiefenbusche unreliable. For longer debugging time the estimators for the two models behave similarly. These results and certain logical issues suggest that compared to an NHPP-I model, its underlying GOS model may better serve for analyzing software failure data.
Myelin
发表于 2025-3-25 23:18:09
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松软无力
发表于 2025-3-26 04:03:21
Matthias Kleiner,Christian Smatloch,Heinz Brox seven chapters making up the ma:i. n body of the book are devoted to the description and application of various types of computerized geomathematical models which underpin the optimization of the mineral exploration sequence. The topics covered include: (a) the opt:lmal selection of ore deposit typ
unstable-angina
发表于 2025-3-26 08:15:55
Robert Schilling,Günter Zicke that case, event count analysis can provide meaningful inferences about factors influencing the rate of occurrence of strategic events. In this chapter we review two stochastic models (Poisson and Negative Binomial) appropriate for event count analysis. We begin with a brief description of the rela
一致性
发表于 2025-3-26 08:39:52
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follicle
发表于 2025-3-26 14:12:23
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发怨言
发表于 2025-3-26 17:41:39
Frank-Jürgen Kleiner,Mathias Liewaldh as phase transitions and the Ising model) and computational strategies for simulating evolutionary games (such as Monte Carlo algorithms on lattices). This book will appeal to students and researchers in this burgeoning field of complex systems..978-3-319-70204-9978-3-319-70205-6Series ISSN 2191-5326 Series E-ISSN 2191-5334