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Probability with Statistical Applications
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Catalogue Information
Field name
Details
Dewey Class
519.2
Title
Probability with Statistical Applications ([Ebook]) / by Rinaldo B. Schinazi.
Author
Schinazi, Rinaldo B.
Other name(s)
SpringerLink (Online service)
Publication
Boston : Birkhäuser , 2012.
Physical Details
XI, 347p. 28 illus. : online resource.
ISBN
9780817682507
Summary Note
"This book is well-written and the presentation is clear and concise. The text is intended for a one-semester course for undergraduates, but it can also serve as a basis for a high-school course. The level of the book is very elementary and in most of the chapters of the book only basic calculus is required. . . No measure theory is required. In the huge variety of examples rather explicit calculations are presented: moments of several distributions, confidence intervals, testing some parameters or proportions, linear regression and more. Every subsection is rounded off by numerous exercises.â âZentralblatt MATH (review of the first edition) This second edition of  Probability with Statistical Applications offers a practical introduction to probability for undergraduates at all levels with different backgrounds and views towards applications. Calculus is a prerequisite for understanding the basic concepts, however the book is written with a sensitivity to studentsâ common difficulties with calculus that does not obscure the thorough treatment of the probability content. The first six chapters of this text neatly and concisely cover the material traditionally required by most undergraduate programs for a first course in probability. The comprehensive text includes a multitude of new examples and exercises, and careful revisions throughout. Particular attention is given to the expansion of the last three chapters of the book with the addition of two entirely new chapters on âFinding and Comparing Estimatorsâ and âMultiple Linear Regression.â The classroom-tested material presented in this second edition textbook forms the basis for a second course introducing mathematical statistics.:
Contents note
Preface to the Second Edition -- Preface -- Probability Space -- Random Variables -- Binomial and Poisson Random Variables -- Limit Theorems -- Estimation and Hypothesis Testing -- Linear Regression -- Moment Generating Functions and Sums of Independent Random Variables -- Transformations of Random Variables and Random Vectors -- Finding and Comparing Estimators -- Multiple Linear Regression -- Further Reading -- Common Distributions -- Normal Table -- Student Table -- Chi-Square Table -- Index.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site
http://dx.doi.org/10.1007/978-0-8176-8250-7
Links to Related Works
Subject References:
Applications of Mathematics
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Distribution (Probability theory)
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Mathematical Statistics
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Mathematics
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Probability theory and stochastic processes
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Statistical Theory and Methods
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Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
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Authors:
Schinazi, Rinaldo B.
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Corporate Authors:
SpringerLink (Online service)
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Classification:
519.2
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519.2 (DDC 23)
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