Principles of Statistics (eBook)

M. G. Bulmer (Autor)

eBook Download: EPUB

2012
Dover Publications (Verlag)
9780486135205 (ISBN)

Infos

Concise description of classical statistics, from basic dice probabilities to modern regression analysis. Equal stress on theory and applications. Moderate difficulty; only basic calculus required. Includes problems with answers.

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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.

Produkt-Details

• Erscheint lt. Verlag: 26.4.2012
• Reihe/Serie: Dover Books on Mathematics
• Sprache: englisch
• Gewicht: 281 g
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Schlagworte: Advanced Topics • Analytics • Applied Statistics • binomial • books on applied statistics • books on business intelligences • books on data sciences • books on data scientists • books on descriptive statistics • books on everyday lives • books on financial fields • books on graph theories • books on learn statistics • books on pure mathematics • books on statistical analyses • books on statistics classes • books on statistics courses • books on statistics textbooks • Business Intelligence • Calculus • charles wheelan • Confidence Level • contestant • Correlation • counter intuitive • darrell huff • Data Science • Data Scientist • descriptive statistics • Deviations • distributions • Equations • everyday lives • fair grounding • financial field • Formulas • front-page story • fundamentals • Graduate school • graph theory • Greek letters • hypothesis testing • indispensable tools • inference • Information Theory • introductory • Key Concepts • Learning Statistics • learn statistics • Limit • mathematical background • Mathematical Notation • Median • medical school • monty hall • naked economics • Nate Silver • Netflix • Normal distribution • Polling • Popular science • potentially dangerous • Probabilities • Probability Theory • proofs • Pure Mathematics • rarely offer • refresher • Regression Analysis • Samples • Sampling • Social Science • SPSS • standard deviation • STAT • statistical analyses • Statistical Concepts • Statistical Methods • statistical probability • Statistical tools • statisticians • statistics class • statistics courses • statistics textbook • stats class • Stock Market • tax cuts • Theorem • Variables • whelan
• ISBN-13: 9780486135205 / 9780486135205