Saturday, July 17, 2010

Basic Statistical Methods and Models for the Sciences

Basic Statistical Methods and Models for the Sciences



Author: Judah Rosenblatt
Edition: 1
Publisher: Chapman and Hall/CRC
Binding: Hardcover
ISBN: 158488147X



Basic Statistical Methods and Models for the Sciences


The use of statistics in biology, medicine, engineering, and the sciences has grown dramatically in recent years and having a basic background in the subject has become a near necessity for students and researchers in these fields. Medical books Basic Statistical Methods and Models for the Sciences. Although many introductory statistics books already exist, too often their focus leans towards theory and few help readers gain effective experience in using a standard statistical software package.

Designed to be used in a first course for graduate or upper-level undergraduate students, Basic Statistical Methods and Models builds a practical foundation in the use of statistical tools and imparts a clear understanding of their underlying assumptions and limitations. Without getting bogged down in proofs and derivations, thorough discussions help readers understand why the stated methods and results are reasonable. The use of the statistical software Minitab is integrated throughout the book, giving readers valuable experience with computer simulation and problem-solving techniques Medical books Basic Statistical Methods & Models for the Sciences .... Designed to be used in a first course for graduate students of medicine, biology, and other sciences, this text builds a practical foundation in the use of statistical tools and imparts a clear understanding of their underlying assumptions and limitations. Without getting bogged down in proofs and derivations, thorough discussions help readers understand why the stated methods and results are reasonable. The use of the statistical software Minitab is integrated throughout the book. The author emphasizes applications and the models appropriate to each problem while focusing on Monte Carlo methods, the Central Limit Theorem, confidence intervals, and power functions.

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Designed to be used in a first course for graduate students of medicine, biology, and other sciences, this text builds a practical foundation in the use of statistical tools and imparts a clear understanding of their underlying assumptions and limitations. Without getting bogged down in proofs and derivations, thorough discussions help readers understand why the stated methods and results are reasonable. The use of the statistical software Minitab is integrated throughout the book. The author emphasizes applications and the models appropriate to each problem while focusing on Monte Carlo metho

Taylor & Francis Inc | 2001 | 296 pages | ISBN-13: 9781584881476 | ISBN-10: 158488147X | You save 10%

Categories: Science->Statistical methods, Statistics. Contributors: Judah Rosenblatt - Author. Format: Hardcover

New Hardcover.



Medical Book Basic Statistical Methods and Models for the Sciences



Although many introductory statistics books already exist, too often their focus leans towards theory and few help readers gain effective experience in using a standard statistical software package.

Designed to be used in a first course for graduate or upper-level undergraduate students, Basic Statistical Methods and Models builds a practical foundation in the use of statistical tools and imparts a clear understanding of their underlying assumptions and limitations. Without getting bogged down in proofs and derivations, thorough discussions help readers understand why the stated methods and results are reasonable. The use of the statistical software Minitab is integrated throughout the book, giving readers valuable experience with computer simulation and problem-solving techniques. The author focuses on applications and the models appropriate to each problem while emphasizing Monte Carlo methods, the Central Limit Theorem, confidence intervals, and power functions.

The text assumes that readers have some degree of maturity in mathematics, but it does not require the use of calculus. This, along with its very clear explanations, generous number of exercises, and demonstrations of the extensive uses of statistics in diverse areas applications make Basic Statistical Methods and Models highly accessible to students in a wide range of disciplines.

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