Контакты/Проезд  Доставка и Оплата Помощь/Возврат
История
  +7 707 857-29-98
  +7(7172) 65-23-70
  10:00-18:00 пн-пт
  shop@logobook.kz
   
    Поиск книг                        
Найти
  Зарубежные издательства Российские издательства  
Авторы | Каталог книг | Издательства | Новинки | Учебная литература | Акции | Бестселлеры | |
 

Graphics For Statistics And Data An, Keen


Варианты приобретения
Цена: 86760.00T
Кол-во:
Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Америка: 257 шт.  
При оформлении заказа до: 2025-08-25
Ориентировочная дата поставки: конец Сентября - начало Октября
При условии наличия книги у поставщика.

Добавить в корзину
в Мои желания

Автор: Keen
Название:  Graphics For Statistics And Data An
ISBN: 9781498779838
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1498779832
Обложка/Формат: Hardback
Страницы: 610
Вес: 1.24 кг.
Дата издания: 23.05.2018
Серия: Chapman & hall/crc texts in statistical science
Язык: English
Издание: 2 ed
Размер: 171 x 236 x 39
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Probability & statistics, MATHEMATICS / Probability & Statistics / General
Основная тема: Statistical Computing
Подзаголовок: Graphics for statistics and data analysis with r
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Европейский союз
Описание:

Praise for the First Edition

The main strength of this book is that it provides a unified framework of graphical tools for data analysis, especially for univariate and low-dimensional multivariate data. In addition, it is clearly written in plain language and the inclusion of R code is particularly useful to assist readers understanding of the graphical techniques discussed in the book. ... It not only summarises graphical techniques, but it also serves as a practical reference for researchers and graduate students with an interest in data display. -Han Lin Shang, Journal of Applied Statistics

Graphics for Statistics and Data Analysis with R, Second Edition, presents the basic principles of graphical design and applies these principles to engaging examples using the graphics and lattice packages in R. It offers a wide array of modern graphical displays for data visualization and representation. Added in the second edition are coverage of the ggplot2 graphics package, material on human visualization and color rendering in R, on screen, and in print.

Features

  • Emphasizes the fundamentals of statistical graphics and best practice guidelines for producing and choosing among graphical displays in R
  • Presents technical details on topics such as: the estimation of quantiles, nonparametric and parametric density estimation; diagnostic plots for the simple linear regression model; polynomial regression, splines, and locally weighted polynomial regression for producing a smooth curve; Trellis graphics for multivariate data
  • Provides downloadable R code and data for figures at www.graphicsforstatistics.com

Kevin J. Keen is a Professor of Mathematics and Statistics at the University of Northern British Columbia (Prince George, Canada) and an Accredited Professional StatisticianTM by the Statistical Society of Canada and the American Statistical Association.



      Старое издание

Multithreading for Visual Effects

Автор: Watt
Название: Multithreading for Visual Effects
ISBN: 1482243563 ISBN-13(EAN): 9781482243567
Издательство: Taylor&Francis
Рейтинг:
Цена: 52150.00 T
Наличие на складе: Есть
Описание:

Tackle the Challenges of Parallel Programming in the Visual Effects Industry

In Multithreading for Visual Effects, developers from DreamWorks Animation, Pixar, Side Effects, Intel, and AMD share their successes and failures in the messy real-world application area of production software. They provide practical advice on multithreading techniques and visual effects used in popular visual effects libraries (such as Bullet, OpenVDB, and OpenSubdiv), one of the industry's leading visual effects packages (Houdini), and proprietary animation systems. This information is valuable not just to those in the visual effects arena, but also to developers of high performance software looking to increase performance of their code.

Diverse Solutions to Solve Performance Problems

After an introductory chapter, each subsequent chapter presents a case study that illustrates how the authors used multithreading techniques to achieve better performance. The authors discuss the problems that occurred and explain how they solved them. The case studies encompass solutions for shaving milliseconds, solutions for optimizing longer running tasks, multithreading techniques for modern CPU architectures, and massive parallelism using GPUs. Some of the case studies include open source projects so you can try out these techniques for yourself and see how well they work.


Reliability and Statistics in Geotechnical Engineering

Автор: Gregory B. Baecher
Название: Reliability and Statistics in Geotechnical Engineering
ISBN: 0471498335 ISBN-13(EAN): 9780471498339
Издательство: Wiley
Рейтинг:
Цена: 138280.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Risk and reliability analysis is an area of growing importance in geotechnical engineering, where many variables have to be considered. Statistics, reliability modelling and engineering judgement are employed together to develop risk and decision analyses for civil engineering systems.

Reasoning with Data: An Introduction to Traditional and Bayesian Statistics Using R

Автор: Stanton Jeffrey M.
Название: Reasoning with Data: An Introduction to Traditional and Bayesian Statistics Using R
ISBN: 1462530265 ISBN-13(EAN): 9781462530267
Издательство: Taylor&Francis
Рейтинг:
Цена: 43890.00 T
Наличие на складе: Поставка под заказ.
Описание: Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. Throughout the text, simple commands in R demonstrate essential data analysis skills using real-data examples. The companion website provides annotated R code for the book's examples, in-class exercises, supplemental reading lists, and links to online videos, interactive materials, and other resources.

Pedagogical Features
*Playful, conversational style and gradual approach; suitable for students without strong math backgrounds.
*End-of-chapter exercises based on real data supplied in the free R package.
*Technical explanation and equation/output boxes.
*Appendices on how to install R and work with the sample datasets.

Statistics in Medicine,

Автор: Robert H. Riffenburgh
Название: Statistics in Medicine,
ISBN: 0123848644 ISBN-13(EAN): 9780123848642
Издательство: Elsevier Science
Рейтинг:
Цена: 56940.00 T
Наличие на складе: Невозможна поставка.
Описание: Statistics in Medicine, Third Edition makes medical statistics easy to understand by students, practicing physicians, and researchers. The book begins with databases from clinical medicine and uses such data to give multiple worked-out illustrations of every method. The text opens with how to plan studies from conception to publication and what to do with your data, and follows with step-by-step instructions for biostatistical methods from the simplest levels (averages, bar charts) progressively to the more sophisticated methods now being seen in medical articles (multiple regression, noninferiority testing). Examples are given from almost every medical specialty and from dentistry, nursing, pharmacy, and health care management. A preliminary guide is given to tailor sections of the text to various lengths of biostatistical courses.

Oxford Handbook of Medical Statistics

Автор: Peacock, Janet, Peacock, Philip
Название: Oxford Handbook of Medical Statistics
ISBN: 0199551286 ISBN-13(EAN): 9780199551286
Издательство: Oxford Academ
Рейтинг:
Цена: 34840.00 T
Наличие на складе: Невозможна поставка.
Описание: The majority of medical research involves quantitative methods and so it is essential to be able to understand and interpret statistics. This book shows readers how to develop the skills required to critically appraise research evidence effectively, and how to conduct research and communicate their findings.

Statistics: Principles and Methods, 7th Edition

Автор: Richard A. Johnson, Gouri K. Bhattacharyya
Название: Statistics: Principles and Methods, 7th Edition
ISBN: 0470904119 ISBN-13(EAN): 9780470904114
Издательство: Wiley
Рейтинг:
Цена: 235790.00 T
Наличие на складе: Поставка под заказ.
Описание: Statistics: Principles and Methods, 7th Edition provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters include real-world data, designed to make the material more relevant. The numerous examples clearly demonstrate the important points of the methods.

Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition

Автор: Nicholas J. Horton , Ken Kleinman
Название: Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition
ISBN: 1482237369 ISBN-13(EAN): 9781482237368
Издательство: Taylor&Francis
Рейтинг:
Цена: 78590.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Improve Your Analytical Skills

Incorporating the latest R packages as well as new case studies and applications, Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition covers the aspects of R most often used by statistical analysts. New users of R will find the book's simple approach easy to understand while more sophisticated users will appreciate the invaluable source of task-oriented information.

New to the Second Edition

  • The use of RStudio, which increases the productivity of R users and helps users avoid error-prone cut-and-paste workflows
  • New chapter of case studies illustrating examples of useful data management tasks, reading complex files, making and annotating maps, "scraping" data from the web, mining text files, and generating dynamic graphics
  • New chapter on special topics that describes key features, such as processing by group, and explores important areas of statistics, including Bayesian methods, propensity scores, and bootstrapping
  • New chapter on simulation that includes examples of data generated from complex models and distributions
  • A detailed discussion of the philosophy and use of the knitr and markdown packages for R
  • New packages that extend the functionality of R and facilitate sophisticated analyses
  • Reorganized and enhanced chapters on data input and output, data management, statistical and mathematical functions, programming, high-level graphics plots, and the customization of plots

Easily Find Your Desired Task

Conveniently organized by short, clear descriptive entries, this edition continues to show users how to easily perform an analytical task in R. Users can quickly find and implement the material they need through the extensive indexing, cross-referencing, and worked examples in the text. Datasets and code are available for download on a supplementary website.


Visual Statistics - Seeing Data with Dynamic Interactive Graphics

Автор: Young
Название: Visual Statistics - Seeing Data with Dynamic Interactive Graphics
ISBN: 0471681601 ISBN-13(EAN): 9780471681601
Издательство: Wiley
Рейтинг:
Цена: 129830.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Visual statistics accomplishes the goal of bringing the most complex and advanced statistical methods within the reach of those with little statistical training by using animated graphics of the data. This text shows how to make dynamic visualizations tht are fully interactive and respond instantly to the user`s nudges and prods.

Research Methods and Statistics in Psychology

Автор: Coolican Hugh
Название: Research Methods and Statistics in Psychology
ISBN: 1444170112 ISBN-13(EAN): 9781444170115
Издательство: Taylor&Francis
Рейтинг:
Цена: 41840.00 T
Наличие на складе: Поставка под заказ.
Описание: "Research Methods and Statistics in Psychology, sixth edition, provides comprehensive coverage of both quantitative and qualitative methods and statistics. The new edition has been updated to reflect recent software updates and advances in knowledge. This classic research methods text is an essential purchase for all psychology students studying at degree level and beyond"--

Naked Statistics: Stripping the Dread from the Data

Автор: Wheelan Charles
Название: Naked Statistics: Stripping the Dread from the Data
ISBN: 039334777X ISBN-13(EAN): 9780393347777
Издательство: Wiley
Рейтинг:
Цена: 14770.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A New York Times bestseller "Brilliant, funny...the best math teacher you never had." -San Francisco Chronicle

An Introduction to Modern Econometrics Using Stata

Автор: Baum
Название: An Introduction to Modern Econometrics Using Stata
ISBN: 1597180130 ISBN-13(EAN): 9781597180139
Издательство: Taylor&Francis
Рейтинг:
Цена: 88800.00 T
Наличие на складе: Невозможна поставка.
Описание:

Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, An Introduction to Modern Econometrics Using Stata focuses on the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how the theories are applied to real data sets using Stata.

As an expert in Stata, the author successfully guides readers from the basic elements of Stata to the core econometric topics. He first describes the fundamental components needed to effectively use Stata. The book then covers the multiple linear regression model, linear and nonlinear Wald tests, constrained least-squares estimation, Lagrange multiplier tests, and hypothesis testing of nonnested models. Subsequent chapters center on the consequences of failures of the linear regression model's assumptions. The book also examines indicator variables, interaction effects, weak instruments, underidentification, and generalized method-of-moments estimation. The final chapters introduce panel-data analysis and discrete- and limited-dependent variables and the two appendices discuss how to import data into Stata and Stata programming.

Presenting many of the econometric theories used in modern empirical research, this introduction illustrates how to apply these concepts using Stata. The book serves both as a supplementary text for undergraduate and graduate students and as a clear guide for economists and financial analysts.


Statistics for High Dimensional Data

Автор: B?hlmann
Название: Statistics for High Dimensional Data
ISBN: 3642201911 ISBN-13(EAN): 9783642201912
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This valuable compendium of statistical methods features a unique combination of methodology, theory, algorithms and applications. It covers recently developed approaches to handling large and complex data sets, including the Lasso and boosting methods.


Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2)
ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
Kaspi QR
   В Контакте     В Контакте Мед  Мобильная версия