PRINCIPLES OF STATISTICS.

Bulmer, M. G.

ISBN 10: 0486637603 / ISBN 13: 9780486637600

Editore: Dover :, 1979

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252 pages. This book was first published in 1965, and this new corrected and unabridged edition makes this invaluable mid-level text available once again for the classroom or for self-study." FINE- SOFTCOVER Size: 8vo - over 7¾" - 9¾" tall.

Codice articolo 035745

Dati bibliografici

• Titolo: PRINCIPLES OF STATISTICS.
• Editore: Dover :
• Data di pubblicazione: 1979
• Lingua: Inglese
• ISBN 10: 0486637603
• ISBN 13: 9780486637600
• Rilegatura: Soft Cover
• Condizione: Fine-
• Cataloghi dei venditori:
  • TECHNOLOGY, SCIENCE & MATHEMATICS

Descrizione articolo

Riassunto

There are many textbooks which describe current methods of statistical analysis, while neglecting related theory. There are equally many advanced textbooks which delve into the far reaches of statistical theory, while bypassing practical applications. But between these two approaches is an unfilled gap, in which theory and practice merge at an intermediate level. Professor M. G. Bulmer's Principles of Statistics, originally published in 1965, was created to fill that need. The new, corrected Dover edition of Principles of Statistics makes this invaluable mid-level text available once again for the classroom or for self-study.

Principles of Statistics was created primarily for the student of natural sciences, the social scientist, the undergraduate mathematics student, or anyone familiar with the basics of mathematical language. It assumes no previous knowledge of statistics or probability; nor is extensive mathematical knowledge necessary beyond a familiarity with the fundamentals of differential and integral calculus. (The calculus is used primarily for ease of notation; skill in the techniques of integration is not necessary in order to understand the text.)
Professor Bulmer devotes the first chapters to a concise, admirably clear description of basic terminology and fundamental statistical theory: abstract concepts of probability and their applications in dice games, Mendelian heredity, etc.; definitions and examples of discrete and continuous random variables; multivariate distributions and the descriptive tools used to delineate them; expected values; etc.
The book then moves quickly to more advanced levels, as Professor Bulmer describes important distributions (binomial, Poisson, exponential, normal, etc.), tests of significance, statistical inference, point estimation, regression, and correlation. Dozens of exercises and problems appear at the end of various chapters, with answers provided at the back of the book. Also included are a number of statistical tables and selected references.

Product Description

The best intermediate-level explanation of classical statistics on the market! From basic dice probabilities to modern regression analysis and correlation, Professor Bulmer provides explanations, graphs, charts, and problems (with answers). Equal stress is given to theory and applications. The author assumes no previous knowledge of statistics or probability; only basic calculus is needed.