Probability with statistical applications [Documento electrónico] / Rinaldo B. Schinazi
Language: eng.Country: US - United States of America.Publication: Boston : Birkhäuser Boston, 2012Description: XI, 347 p. 28 il.ISBN: 978-0-8176-8250-7.Subject - Topical Name: 6798 | 4515 | 1379 | 3627Online Resources:Click here to access onlineItem type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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E-Books | Biblioteca NOVA FCT | Não Ficção | QA273.SPR FCT 96292 (Browse shelf(Opens below)) | 1 | Available |
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QA273.SPR FCT 96273 Associated sequences, demimartingales and nonparametric inference | QA273.SPR FCT 96278 Nonlinear filtering and optimal phase tracking | QA273.SPR FCT 96286 Fluctuations in markov processes | QA273.SPR FCT 96292 Probability with statistical applications | QA273.SPR FCT 96301 Sharp martingale and semimartingale inequalities | QA273.SPR FCT 96335 Stochastic analysis, a series of lectures, Centre Interfacultaire Bernoulli, January–June 2012, Ecole Polytechnique Fédérale de Lausanne, Switzerland | QA273.SPR FCT 96338 Stochastic control theory, dynamic programming principle |
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"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.” —Zentralblatt 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 students’ 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 “Finding and Comparing Estimators” and “Multiple Linear Regression.” The classroom-tested material presented in this second edition textbook forms the basis for a second course introducing mathematical statistics.
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