Nonparametric Regression and Spline Smoothing, Eubank, Randall L.

Автор: Faghih, Nezameddin Bonyadi, Ebrahim Sarreshtehdari, Lida
Название: Quality management and operations research
ISBN: 0367744902 ISBN-13(EAN): 9780367744908
Издательство: Taylor&Francis
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Цена: 75030.00 T
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Описание: Offering a step-by-step approach for applying the Nonparametric Method with the Bayesian Approach to model complex relationships occurring in Reliability Engineering, Quality Management, and Operations Research, it also discusses survival and censored data, accelerated lifetime tests (issues in reliability data analysis), and R codes. This book uses the Nonparametric Bayesian approach in the fields of quality management and operations research. It presents a step-by-step approach for understanding and implementing these models, as well as includes R codes which can be used in any dataset. The book helps the readers to use statistical models in studying complex concepts and applying them to Operations Research, Industrial Engineering, Manufacturing Engineering, Computer Science, Quality and Reliability, Maintenance Planning and Operations Management.This book helps researchers, analysts, investigators, designers, producers, industrialists, entrepreneurs, and financial market decision makers, with finding the lifetime model of products, and for crucial decision-making in other markets.

Автор: Chong Gu
Название: Smoothing Spline ANOVA Models
ISBN: 1461453682 ISBN-13(EAN): 9781461453680
Издательство: Springer
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Цена: 139750.00 T
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Описание: Updated to include the latest computational methods, this second edition explains how to use the `gss` R package and features expanded empirical studies, a reorganized content, and a further new appendix analyzing new and controversial topics in smoothing.

Автор: Chong Gu
Название: Smoothing Spline ANOVA Models
ISBN: 1489989846 ISBN-13(EAN): 9781489989840
Издательство: Springer
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Цена: 121110.00 T
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Описание: Updated to include the latest computational methods, this second edition explains how to use the `gss` R package and features expanded empirical studies, a reorganized content, and a further new appendix analyzing new and controversial topics in smoothing.

Автор: Paul H.C. Eilers, Brian D. Marx
Название: Practical Smoothing: The Joys of P-splines
ISBN: 1108482953 ISBN-13(EAN): 9781108482950
Издательство: Cambridge Academ
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Цена: 57030.00 T
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Описание: P-splines are widely used in statistics and machine learning for smoothing out noise in data and to avoid overtraining. This practical guide covers theory and a range of standard and non-standard applications with code in R for professionals and researchers looking for a simple, flexible and powerful smoothing tool.

Автор: Kolassa, John E.
Название: An Introduction to nonparametric statistics
ISBN: 0367194848 ISBN-13(EAN): 9780367194840
Издательство: Taylor&Francis
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Цена: 93910.00 T
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Описание: This book presents the theory and practice of non-parametric statistics, with an emphasis on motivating principals. The course is a combination of traditional rank based methods and more computationally-intensive topics like density estimation, kernel smoothers in regression, and robustness. The text is aimed at MS students.

Автор: Wang, Yuedong
Название: Smoothing Splines
ISBN: 1032477628 ISBN-13(EAN): 9781032477626
Издательство: Taylor&Francis
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Цена: 46950.00 T
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Автор: Wang, Yuedong
Название: Smoothing Splines
ISBN: 1420077554 ISBN-13(EAN): 9781420077551
Издательство: Taylor&Francis
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Цена: 148010.00 T
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Автор: Masao Fukushima; Liqun Qi
Название: Reformulation: Nonsmooth, Piecewise Smooth, Semismooth and Smoothing Methods
ISBN: 1441948058 ISBN-13(EAN): 9781441948052
Издательство: Springer
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Цена: 153720.00 T
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Описание: The concept of "reformulation" has long been playing an important role in mathematical programming. A classical example is the penalization technique in constrained optimization that transforms the constraints into the objective function via a penalty function thereby reformulating a constrained problem as an equivalent or approximately equivalent unconstrained problem. More recent trends consist of the reformulation of various mathematical programming prob- lems, including variational inequalities and complementarity problems, into equivalent systems of possibly nonsmooth, piecewise smooth or semismooth nonlinear equations, or equivalent unconstrained optimization problems that are usually differentiable, but in general not twice differentiable. Because of the recent advent of various tools in nonsmooth analysis, the reformulation approach has become increasingly profound and diversified. In view of growing interests in this active field, we planned to organize a cluster of sessions entitled "Reformulation - Nonsmooth, Piecewise Smooth, Semismooth and Smoothing Methods" in the 16th International Symposium on Mathematical Programming (ismp97) held at Lausanne EPFL, Switzerland on August 24-29, 1997. Responding to our invitation, thirty-eight people agreed to give a talk within the cluster, which enabled us to organize thirteen sessions in total. We think that it was one of the largest and most exciting clusters in the symposium. Thanks to the earnest support by the speakers and the chairpersons, the sessions attracted much attention of the participants and were filled with great enthusiasm of the audience.

Автор: L?szl? Gy?rfi; Michael Kohler; Adam Krzyzak; Harro
Название: A Distribution-Free Theory of Nonparametric Regression
ISBN: 1441929983 ISBN-13(EAN): 9781441929983
Издательство: Springer
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Цена: 181670.00 T
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Описание: This book provides a systematic in-depth analysis of nonparametric regression with random design. It covers almost all known estimates. The emphasis is on distribution-free properties of the estimates.

Автор: Hans-Georg M?ller
Название: Nonparametric Regression Analysis of Longitudinal Data
ISBN: 038796844X ISBN-13(EAN): 9780387968445
Издательство: Springer
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Цена: 111790.00 T
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Описание: This text evolved during a set of lectures given by the author at the Division of Statistics at the University of California, Davis in Fall 1986 and is based on the author`s Habilitationsschrift submitted to the University of Marburg in Spring 1985 as well as on published and unpublished work.

Автор: Davies, Patrick Laurie
Название: Data Analysis and Approximate Models
ISBN: 1482215861 ISBN-13(EAN): 9781482215861
Издательство: Taylor&Francis
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Цена: 163330.00 T
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Автор: Patrice Bertail; Delphine Blanke; Pierre-Andr? Cor
Название: Nonparametric Statistics
ISBN: 3319969404 ISBN-13(EAN): 9783319969404
Издательство: Springer
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Цена: 139750.00 T
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Описание: This volume presents the latest advances and trends in nonparametric statistics, and gathers selected and peer-reviewed contributions from the 3rd Conference of the International Society for Nonparametric Statistics (ISNPS), held in Avignon, France on June 11-16, 2016. It covers a broad range of nonparametric statistical methods, from density estimation, survey sampling, resampling methods, kernel methods and extreme values, to statistical learning and classification, both in the standard i.i.d. case and for dependent data, including big data. The International Society for Nonparametric Statistics is uniquely global, and its international conferences are intended to foster the exchange of ideas and the latest advances among researchers from around the world, in cooperation with established statistical societies such as the Institute of Mathematical Statistics, the Bernoulli Society and the International Statistical Institute. The 3rd ISNPS conference in Avignon attracted more than 400 researchers from around the globe, and contributed to the further development and dissemination of nonparametric statistics knowledge.