With its unique balance of theory and methodology, this classic text provides a rigorous introduction to basic probability theory and statistical inference, motivated by interesting, relevant applications. Offers extensively updated coverage, new problem sets, and chapter-ending material to enhance the book’s relevance to today’s engineers and scientists. Includes new problem sets demonstrating updated applications to engineering as well as biological, physical, and computer science. Emphasizes key ideas as well as the risks and hazards associated with practical application of the material. Includes new material on topics difference between discrete and continuous measurements; binary data; quartiles; importance of experimental design; “dummy” variables; rules for expectations and variances of linear functions; Poisson distribution; Weibull and lognormal distributions; central limit theorem, and data plotting. Introduces Bayesian statistics, including its applications to many fields. For those interested in learning more about probability and statistics.
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.
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.
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!
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.