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Statistical Machine Learning for Engineering with Applications
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作者:Franke; Jurgen; Schobel; Anita  出版社:Springer International Publishing AG  出版日:2024/09/27 裝訂:平裝
預購中
定價:3849 元, 優惠價:95 3656
This volume contains papers presented at the Workshop on Branching Processes and Their Applications (WBPA09), held in Badajoz, Spain, April 20-23, 2009. These papers deal with theoretical and practica
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作者:Pierre Alquier (EDT); Eric Gautier (EDT); Gilles Stoltz (EDT)  出版社:Springer Verlag  出版日:2011/06/24 裝訂:平裝
The “Stats in the Chateau” summer school was held at the CRC chateau on the campus of HEC Paris, Jouy-en-Josas, France, from August 31 to September 4, 2009. This event was organized jointly by faculty
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作者:Emilio Porcu (EDT); Jose Marfa Montero (EDT); Martin Schlather (EDT)  出版社:Springer Verlag  出版日:2012/01/04 裝訂:平裝
This book arises as the natural continuation of the International Spring School "Advances and Challenges in Space-Time modelling of Natural Events," which took place in Toledo (Spain) in March 2010. T
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作者:Neil J. Dorans (EDT); Sandip Sinharay (EDT)  出版社:Springer Verlag  出版日:2011/07/15 裝訂:平裝
In 2006, Paul W. Holland retired from Educational Testing Service (ETS) after a career spanning five decades. In 2008, ETS sponsored a conference, Looking Back, honoring his contributions to applied a
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作者:Marat Ibragimov; Rustam Ibragimov; Johan Walden  出版社:Springer Verlag  出版日:2015/06/09 裝訂:平裝
This book focuses on general frameworks for modeling heavy-tailed distributions in economics, finance, econometrics, statistics, risk management and insurance. A central theme is that of (non-)robustn
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作者:Claudia Czado  出版社:Springer Nature  出版日:2019/05/15 裝訂:平裝
無庫存,下單後進貨(到貨天數約30-45天)
定價:3999 元, 優惠價:1 3999
作者:Eric D. Feigelson (EDT); G. Jogesh Babu (EDT)  出版社:Springer Verlag  出版日:2012/08/15 裝訂:平裝
This volume contains a selection of chapters based on papers to be presented at the Fifth Statistical Challenges in Modern Astronomy Symposium. The symposium will be held June 13-15th at Penn State Un
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作者:Daniel Straumann  出版社:Springer Verlag  出版日:2004/09/15 裝訂:平裝
In his seminal 1982 paper, Robert F. Engle described a time series model with a time-varying volatility. Engle showed that this model, which he called ARCH (autoregressive conditionally heteroscedasti
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作者:Patrice Bertail (EDT); Paul Doukhan (EDT); Philippe Soulier (EDT)  出版社:Springer Verlag  出版日:2006/06/30 裝訂:平裝
This book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. It covers a wide range of topics. A special section is devoted to statisti
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作者:Lixing Zhu  出版社:Springer Verlag  出版日:2005/08/02 裝訂:平裝
A fundamental issue in statistical analysis is testing the fit of a particular probability model to a set of observed data. Monte Carlo approximation to the null distribution of the test provides a co
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作者:Parimal Mukhopadhyay  出版社:Springer Verlag  出版日:2000/10/01 裝訂:平裝
The aim of this book is to make a comprehensive review on some of the research topics in the area of survey sampling which has not been covered in any book yet. The proposed book aims at making a comp
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作者:Regina Kaiser; Agustin Maravall  出版社:Springer Verlag  出版日:2000/12/01 裝訂:平裝
This book outlines and demonstrates problems with the use of the HP filter, and proposes an alternative strategy for inferring cyclical behavior from a time series featuring seasonal, trend, cyclical
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作者:David Rios Insua (EDT); Fabrizio Ruggeri (EDT)  出版社:Springer Verlag  出版日:2000/08/01 裝訂:平裝
Robust Bayesian analysis aims at overcoming the traditional objection to Bayesian analysis of its dependence on subjective inputs, mainly the prior and the loss. Its purpose is the determination of th
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作者:Gordon E. Willmot; X. Sheldon Lin  出版社:Springer Verlag  出版日:2000/12/01 裝訂:平裝
These notes represent our summary of much of the recent research that has been done in recent years on approximations and bounds that have been developed for compound distributions and related quantit
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作者:Piotr Jaworski (EDT); Fabrizio Durante (EDT); Wolfgang Karl HSrdle (EDT)  出版社:Springer Verlag  出版日:2013/06/30 裝訂:平裝
Copulas are mathematical objects that fully capture the dependence structure among random variables and hence offer great flexibility in building multivariate stochastic models. Since their introducti
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作者:David B. Dunson (EDT)  出版社:Springer Verlag  出版日:2008/07/04 裝訂:平裝
This book presents state of the art methods for accommodating model uncertainty in random effects and latent variable models. It is divided into four sections featuring articles by experts in the vari
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作者:Bikas Sinha; N. K. Mandal; Manisha Pal; P. Das  出版社:Springer Verlag  出版日:2014/06/23 裝訂:精裝
?The book dwells mainly on the optimality aspects of mixture designs. As mixture models are a special case of regression models, a general discussion on regression designs has been presented, which in
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作者:Jurgen Gross  出版社:Springer Verlag  出版日:2003/08/01 裝訂:平裝
The book covers the basic theory of linear regression models and presents a comprehensive survey of different estimation techniques as alternatives and complements to least squares estimation. Proofs
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作者:Andrej P憳an; Andrej P_zman  出版社:Springer Verlag  出版日:2013/04/10 裝訂:平裝
Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties provides a comprehensive coverage of the various aspects of experimental design for non
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