Demidenko eugene (21 Ergebnisse)

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Zustand: Fine. Used book that is in almost brand-new condition. May contain a remainder mark. Better World Books: Buy Books. Do Good.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1550grams, ISBN:9781118091579. …

hardcover. Zustand: Sehr gut. 768 Seiten; 9781118091579.2 Gewicht in Gramm: 3.

Zustand: New.

Zustand: New. pp. 758.

Hardcover. Zustand: Brand New. 240 pages. 10.00x7.00x0.56 inches. In Stock.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. 2023. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.

Hardcover. Zustand: Brand New. 856 pages. 10.50x7.25x1.50 inches. In Stock.

Zustand: New. 2019. Hardcover. . . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Neuware - M-STATISTICS A comprehensive resource providing new statistical methodologies and demonstrating how new approaches work for applications M-statistics introduces a new approach to statistical inference, redesigning the fundamentals of statistics, and improving on the classical methods we already use. This book targets exact optimal statistical inference for a small sample under one methodological umbrella. Two competing approaches are offered: maximum concentration (MC) and mode (MO) statistics combined under one methodological umbrella, which is why the symbolic equation M=MC+MO. M-statistics defines an estimator as the limit point of the MC or MO exact optimal confidence interval when the confidence level approaches zero, the MC and MO estimator, respectively. Neither mean nor variance plays a role in M-statistics theory. Novel statistical methodologies in the form of double-sided unbiased and short confidence intervals and tests apply to major statistical parameters: - Exact statistical inference for small sample sizes is illustrated with effect size and coefficient of variation, the rate parameter of the Pareto distribution, two-sample statistical inference for normal variance, and the rate of exponential distributions. - M-statistics is illustrated with discrete, binomial, and Poisson distributions. Novel estimators eliminate paradoxes with the classic unbiased estimators when the outcome is zero. - Exact optimal statistical inference applies to correlation analysis including Pearson correlation, squared correlation coefficient, and coefficient of determination. New MC and MO estimators along with optimal statistical tests, accompanied by respective power functions, are developed. - M-statistics is extended to the multidimensional parameter and illustrated with the simultaneous statistical inference for the mean and standard deviation, shape parameters of the beta distribution, the two-sample binomial distribution, and finally, nonlinear regression. Our new developments are accompanied by respective algorithms and R codes, available at GitHub, and as such readily available for applications. M-statistics is suitable for professionals and students alike. It is highly useful for theoretical statisticians and teachers, researchers, and data science analysts as an alternative to classical and approximate statistical inference.…

Zustand: New. Praise for the First Edition This book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly recommend including it in one s personal library. Series: Wiley Series in Probability and Statistics. Num Pages: 754 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 192 x 263 x 39. Weight in Grams: 1462. . 2013. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Hardcover. Zustand: Brand New. 2nd edition. 768 pages. 10.25x7.25x1.50 inches. In Stock.

Buch. Zustand: Neu. Neuware - Praise for the First Edition'This book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly recommend including it in one's personal library.'--Journal of the American Statistical AssociationMixed modeling is a crucial area of statistics, enabling the analysis of clustered and longitudinal data. Mixed Models: Theory and Applications with R, Second Edition fills a gap in existing literature between mathematical and applied statistical books by presenting a powerful examination of mixed model theory and application with special attention given to the implementation in R.The new edition provides in-depth mathematical coverage of mixed models' statistical properties and numerical algorithms, as well as nontraditional applications, such as regrowth curves, shapes, and images. The book features the latest topics in statistics including modeling of complex clustered or longitudinal data, modeling data with multiple sources of variation, modeling biological variety and heterogeneity, Healthy Akaike Information Criterion (HAIC), parameter multidimensionality, and statistics of image processing.Mixed Models: Theory and Applications with R, Second Edition features unique applications of mixed model methodology, as well as:\* Comprehensive theoretical discussions illustrated by examples and figures\* Over 300 exercises, end-of-section problems, updated data sets, and R subroutines\* Problems and extended projects requiring simulations in R intended to reinforce material\* Summaries of major results and general points of discussion at the end of each chapter\* Open problems in mixed modeling methodology, which can be used as the basis for research or PhD dissertationsIdeal for graduate-level courses in mixed statistical modeling, the book is also an excellent reference for professionals in a range of fields, including cancer research, computer science, and engineering.…

Zustand: gut. 2013. Mixed Models: Theory and Applications with R (Wiley Series in Probability and Statistics) In englischer Sprache. pages.