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020 _a9780817682507
_99780817682507
024 7 _a10.1007/9780817682507
_2doi
035 _avtls000333715
039 9 _a201509030218
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040 _aMX-SnUAN
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_cMX-SnUAN
_erda
050 4 _aQA273.A1-274.9
100 1 _aSchinazi, Rinaldo B.
_eautor
_9307326
245 1 0 _aProbability with Statistical Applications /
_cby Rinaldo B. Schinazi.
264 1 _aBoston :
_bBirkhäuser Boston,
_c2012.
300 _axI, 347 páginas 28 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
505 0 _aPreface 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.
520 _a"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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780817682491
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-8176-8250-7
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c281553
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