Книги жанра естественные науки
Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: «to present the mathematical analysis underlying probability results» Special emphases on simulation and discrete decision theory Mathematically-rich, but self-contained text, at a gentle pace Review of calculus and linear algebra in an appendix Mathematical interludes (in each…
Если вы знаете, как программировать на Python, и немного знаете о теории вероятности, значит, вы готовы освоить байесовскую статистику. Эта книга расскажет вам, как решать статистические задачи с помощью языка Python вместо математических формул и использовать дискретные вероятностные распределения вместо непрерывной математики. Байесовские статистические методы становятся все более обширными и ва…
Предоставляю рекомендации по использованию надежных инструментов мониторинга, объединению данных из различных источников, установке правильных интервалов мониторинга и проверке авто открытия приложений и процессов. Кроме того, мы обсуждаем важность мониторинга сетевых устройств и соединений, а также применение средних и пиковых значений. Эти советы позволят получить более точную информацию о загру…
Contains additional discussion and examples on left truncation as well as material on more general censoring and truncation patterns. Introduces the martingale and counting process formulation swil lbe in a new chapter. Develops multivariate failure time data in a separate chapter and extends the material on Markov and semi Markov formulations. Presents new examples and applications of data analys…
The first text to bridge the gap between image processing and jump regression analysis Recent statistical tools developed to estimate jump curves and surfaces have broad applications, specifically in the area of image processing. Often, significant differences in technical terminologies make communication between the disciplines of image processing and jump regression analysis difficult. In easy-t…
The first text to bridge the gap between image processing and jump regression analysis Recent statistical tools developed to estimate jump curves and surfaces have broad applications, specifically in the area of image processing. Often, significant differences in technical terminologies make communication between the disciplines of image processing and jump regression analysis difficult. In easy-t…
The first text to bridge the gap between image processing and jump regression analysis Recent statistical tools developed to estimate jump curves and surfaces have broad applications, specifically in the area of image processing. Often, significant differences in technical terminologies make communication between the disciplines of image processing and jump regression analysis difficult. In easy-t…
The first text to bridge the gap between image processing and jump regression analysis Recent statistical tools developed to estimate jump curves and surfaces have broad applications, specifically in the area of image processing. Often, significant differences in technical terminologies make communication between the disciplines of image processing and jump regression analysis difficult. In easy-t…
WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scienti…
Praise for the First Edition «This book . . . is a significant addition to the literature on statistical practice . . . should be of considerable interest to those interested in these topics.»—International Journal of Forecasting Recent research has shown that monitoring techniques alone are inadequate for modern Statistical Process Control (SPC), and there exists a need for these techniques to be…
An advanced discussion of linear models with mixed or random effects. In recent years a breakthrough has occurred in our ability to draw inferences from exact and optimum tests of variance component models, generating much research activity that relies on linear models with mixed and random effects. This volume covers the most important research of the past decade as well as the latest development…
В учебнике рассмотрена история развития физики, особое внимание уделено истории выдающихся физических открытий ХХ начала ХХI в. Значительное место в издании отведено методологии физики как науки: общим подходам и методологическим концепциям теории и практики выдающихся ученых-физиков. Подробно изложена история развития современной физики и физических открытий, которые были сделаны за последние 50 …
The field of high-throughput genetic experimentation is evolving rapidly, with the advent of new technologies and new venues for data mining. Bayesian methods play a role central to the future of data and knowledge integration in the field of Bioinformatics. This book is devoted exclusively to Bayesian methods of analysis for applications to high-throughput gene expression data, exploring the rele…
The only integrative approach to chaos and random fractal theory Chaos and random fractal theory are two of the most important theories developed for data analysis. Until now, there has been no single book that encompasses all of the basic concepts necessary for researchers to fully understand the ever-expanding literature and apply novel methods to effectively solve their signal processing proble…
Содержит тестовые задания по медицинской и биологической физике. Особое внимание уделено отбору тематических тестов по физическим явлениям и процессам, имеющим прикладное значение в современной биологии и медицине. В конце книги представлены коды правильных ответов к тестам, а также справочные материалы, необходимые при выполнении ряда тестовых заданий.