R. Freund – Statistical Methods (3rd edition)
1.240 ₽
Автор: R. Freund
Название книги: Statistical Methods (3rd edition)
Формат: PDF
Жанр: Математика
Страницы: 796
Качество: Изначально компьютерное, E-book
Statistical Methods, 3e provides students with a working introduction to statistical methods offering a wide range of applications that emphasize the quantitative skills useful across many academic disciplines. This text takes a classic approach emphasizing concepts and techniques for working out problems and intepreting results. The book includes research projects, real-world case studies, numerous examples and data exercises organized by level of difficulty. This text requires that a student be familiar with algebra.
New to this edition:
NEW expansion of exercises applying different techniques and methods
NEW examples and datasets using current real-world data
New text organization to create a more natural connection between regression and the Analysis of the Variance
NEW material on generalized linear models
NEW expansion of nonparametric techniques
NEW student research projects
NEW case studies for gathering, summarizing, and analyzing data
Supplements:
NEW companion website with downloadable data sets and additional resources including live links to statistical software such as SAS and SPSS
Student Solutions Manual – to come
Instructor Manual – to come
Sample chapter – http://www.elsevierdirect.com/product.jsp?isbn=9780123749703
Integrates the classical conceptual approach with modern day computerized data manipulation and computer applications
Accessibile to students who may not have a background in probability or calculus
Offers reader-friendly exposition, without sacrificing statistical rigor
Includes many new data sets in various applied fields such as Psychology, Education, Biostatistics, Agriculture, Economics
Описание
Statistical Methods (3rd edition) — это классическое руководство по статистике, которое объясняет ключевые методы анализа данных, их применение и интерпретацию результатов. Автор R. Freund последовательно излагает основы теории вероятностей, описательной статистики, проверки гипотез, регрессионного анализа и многомерных методов.
В книге особое внимание уделено практическому использованию статистических инструментов в реальных исследованиях. Каждую тему сопровождают примеры из разных областей науки и бизнеса, что помогает понять, как правильно выбирать метод и избегать типичных ошибок при работе с данными.
- студентам математических, экономических и естественно-научных специальностей
- исследователям и аналитикам, работающим с данными
- специалистам в области data science и машинного обучения, желающим укрепить фундамент
- всем, кто хочет научиться читать и интерпретировать статистические отчёты
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