1 Audience Students seeking master’s degrees in applied statistics in the late 1960s and 1970s typically took a year-long sequence in statistical methods. Popular choices of the course text book in that period prior to the availability of high- speed computing and graphics capability were those authored by Snedecor and Cochran, and Steel and Torrie. By 1980, the topical coverage in these classics failed to include a great many new and important elementary techniques in the data analyst’s toolkit. In order to teach the statistical methods sequence with adequate coverage of topics, it became necessary to draw material from each of four or five text sources. Obviously, such a situation makes life difficult for both students and instructors. In addition, statistics students need to become proficient with at least one high-quality statistical software package. This book can serve as a standalone text for a contemporary year-long course in statistical methods at a level appropriate for statistics majors at the master’s level or other quantitatively oriented disciplines at the doctoral level. The topics include both concepts and techniques developed many years ago and a variety of newer tools not commonly found in textbooks.
Richard M. Heiberger & Burt Holland
Statistical Analysis and Data Display [PDF ebook]
An Intermediate Course with Examples in S-Plus, R, and SAS
Statistical Analysis and Data Display [PDF ebook]
An Intermediate Course with Examples in S-Plus, R, and SAS
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لغة الإنجليزية ● شكل PDF ● ISBN 9781475742848 ● الناشر Springer New York ● نشرت 2013 ● للتحميل 3 مرات ● دقة EUR ● هوية شخصية 4605207 ● حماية النسخ Adobe DRM
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