Brani Vidakovic Nonparametric Statistics with Applications to Science and Engineering
Купить за 15240.54 RUR
A thorough and definitive book that fully addresses traditional and modern-day topics of nonparametric statistics This book presents a practical approach to nonparametric statistical analysis and provides comprehensive coverage of both established and newly developed methods. With the use of
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Brani Vidakovic Engineering Biostatistics
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Provides a one-stop resource for engineers learning biostatistics using MATLAB® and WinBUGS Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing bio-oriented engineering fields while implementing software packages that are familiar to engineers.
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Группа авторов Nonparametric Finance
Купить за 12931.36 RUR
An Introduction to Machine Learning in Finance, With Mathematical Background, Data Visualization, and R Nonparametric function estimation is an important part of machine learning, which is becoming increasingly important in quantitative finance. Nonparametric Finance provides graduate students and
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Myles Hollander Nonparametric Statistical Methods
Купить за 12911.4 RUR
Praise for the Second Edition “This book should be an essential part of the personal library of every practicing statistician.”—Technometrics Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data
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Luigi Salmaso Nonparametric Hypothesis Testing
Купить за 7420.59 RUR
A novel presentation of rank and permutation tests, with accessible guidance to applications in R Nonparametric testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. This book summarizes traditional rank techniques and
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Группа авторов Introduction to Nonparametric Regression
Купить за 17954.91 RUR
An easy-to-grasp introduction to nonparametric regression This book's straightforward, step-by-step approach provides an excellent introduction to the field for novices of nonparametric regression. Introduction to Nonparametric Regression clearly explains the basic concepts underlying nonparametric
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Subhabrata Chakraborti Nonparametric Statistical Process Control
Купить за 8543.94 RUR
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Mikhail S. Nikulin Nonparametric Tests for Complete Data
Купить за 16716.16 RUR
This book concerns testing hypotheses in non-parametric models. Classical non-parametric tests (goodness-of-fit, homogeneity, randomness, independence) of complete data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises
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Mikhail S. Nikulin Nonparametric Tests for Censored Data
Купить за 15388.02 RUR
This book concerns testing hypotheses in non-parametric models. Generalizations of many non-parametric tests to the case of censored and truncated data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The
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Jussi Sakari Klemel? Multivariate Nonparametric Regression and Visualization
Купить за 11207.36 RUR
A modern approach to statistical learning and its applications through visualization methods With a unique and innovative presentation, Multivariate Nonparametric Regression and Visualization provides readers with the core statistical concepts to obtain complete and accurate predictions when given
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Группа авторов Statistical Modeling by Wavelets
Купить за 18705.7 RUR
A comprehensive, step-by-step introduction to wavelets in statistics. What are wavelets? What makes them increasingly indispensable in statistical nonparametrics? Why are they suitable for «time-scale» applications? How are they used to solve such problems as denoising, regression, or density
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Hulin Wu Nonparametric Regression Methods for Longitudinal Data Analysis
Купить за 14470.63 RUR
Incorporates mixed-effects modeling techniques for more powerful and efficient methods This book presents current and effective nonparametric regression techniques for longitudinal data analysis and systematically investigates the incorporation of mixed-effects modeling techniques into various
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