Probabilidad y Estadistica para Ingenieros

by Ronald E. Walpole, Sharon L. Myers, Raymond H. Myers

Este clásico proporciona una introducción rigurosa a la teoría básica de probabilidad y a la inferencia estadística, incorporando interesantes aplicaciones y numerosos ejercicios y ejemplos basados en datos reales.

Esta nueva edición se ha enriquecido con: ejercicios y aplicaciones de las distribuciones de Poisson, binomiales, geométricas, hipergeométricas y gamma, nuevos materiales sobre el análisis de la varianza que emplean modelos lineales con desarrollo de matrices, salidas de SAS y Minitab en numerosos capítulos que representan estudios de casos que los alumnos tienen que interpretar y un capítulo sobre control estadístico de calidad.

TABLA DE CONTENIDO

Introducción a la estadística y el análisis de datos.
Probabilidad.
Variables aleatorias y distribuciones de probabilidad.
Expectativa matemática.
Algunas distribuciones discretas de probabilidad.
Algunas distribuciones continuas de probabilidad. Funciones de variables aleatorias.
Muestreo aleatorio, descripción de datos y algunas distribuciones fundamentales de muestreo.
Problemas de estimación con una y dos muestras.
Pruebas de hipótesis con una y dos muestras (datos continuos y discretos).
Regresión lineal simple y correlación. Regresión lineal múltiple.
Experimentos con un factor: aspectos generales.
Experimentos con factoriales. Experimentos con factoriales 2k y fracciones.
Estadística no paramétrica.
Control estadístico de calidad.
Apéndice: Tablas estadísticas.
Respuestas a los ejercicios.
Índice.

Genres: Mathematics, Textbooks, Engineering, Reference, Science, Nonfiction, Physics

752 pages, Paperback

First published January 1, 1978

Reviews

[narlock · Rating 2 out of 5]

lacked some explanation, but still explained it better than my instructor

[Sara Shahmohammadi · Rating 5 out of 5]

This was a really complete book. It takes a little bit to get used to its style, but the language is clear and the content is also well-organized. It took months to read, but only because there were so many things covered. I decided not to skip the chapters I did not immediately need because I was afraid it would be in that case impossible to follow and understand things, but I believe it should be possible with a little bit of effort to skip the chapters you deem not urgent and get straight to the topic.

[Paul · Rating 4 out of 5]

I have the 1972 edition of the text with this title credited to just Walpole and Myers. It was my mother's textbook at Purdue circa 1975. It starts with a fairly rigorous mathematical treatment of the basics and shifts after chapter 5 or so to be more of the cookbook style of stats text. Goes far deeper than my old stats text or anything else I personally have read. It cites Hogg and Craig, another book that happened to be in my parents' basement, as one possible place to go deeper, so I'm curious to delve into that one.

[Siti Aisha · Rating 5 out of 5]

good book

[Shiva]

i want to read for jntuh preparations

[Adi · Rating 5 out of 5]

gw mah ngeliat dari sisi finansial aja deh...

gila nih buku, kayaknya cukup nguasain satu buku ini aja sebagai buku statistik dasar di ITB, lu dah bisa poci2 nyari duit kemana2..lu gak usah belajar statistik advanced. buku ini aja cukup ampuh buat proyek2 riset sosial terutama tuh yang kebanyakan proyek yang ditawarin gak perlu statistik tingkat tinggi...sayangnya gw dulu dapet C hahahaha, payah deh..makanya belajar duongggg say!

[Christina Maya · Rating 3 out of 5]

Huahuahuahua, till now, STILLLLL!!, belum KHATAM dah baca buku ini.. Anyone want to help me to understand??

[Hestia · Rating 5 out of 5]

cannot comment anything.
*hypnotized...

[Muazzma]

my stat book

[Timothy Culp · Rating 4 out of 5]

In mathematics, Buffon's needle problem is a question first posed in the 18th century by Georges-Louis Leclerc, Comte de Buffon. Who knew you could derive pi as a probability. Fascinating.

[Devendra Owens · Rating 4 out of 5]

Book clearly covers topics in easy to digest sections. Tons of great problems to practice and cement the understanding of the concepts.

[Goru Kumaraswamy]

good

[Kadir Tekgöz]

hepful book