Basic Statistical Methods and Models for the Sciences

Judah Rosenblatt

282 pages, parution le 07/03/2002

Ajouter à une liste

Indisponible

Résumé

"Designed for a first course in statistics 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 simulations 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 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 of application make Basic Statistical Methods and Models highly accessible to readers in a wide range of disciplines.

Contents

Chapter 1 Introduction 1
Chapter 2 Classes of Models and Statistical Inference 19
Chapter 3 Sampling and Descriptive Statistics 47
Chapter 4 Survey of Basic Probability 89
Chapter 5 Introduction to Statistical Estimation 143
Chapter 6 Testing Hypotheses 181
Chapter 7 Basic Regression and Analysis of Variance 217

Epilogue 233
Bibliography 235
Selected Answers and Solutions 237
Index

Caractéristiques techniques

	PAPIER
Éditeur(s)	Chapman and Hall / CRC
Auteur(s)	Judah Rosenblatt
Parution	07/03/2002
Nb. de pages	282
Format	16 x 24
Couverture	Relié
Poids	588g
Intérieur	Noir et Blanc
EAN13	9781584881476
ISBN13	978-1-58488-147-6