01765nam a2200217Ia 4500 CTU_133375 210402s9999 xx 000 0 und d 420000 519.02462 P962 Probability & statistics for engineers & scientists Ronald E. Walpole ... [et al.] Upper Saddle River, NJ Pearson Prentice Hall c2007 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 including: 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. Thống kê phép thí nghiệm - CNTP NN153 Engineering,Statistical methods,Phương pháp thống kê,Khoa học ứng dụng Statistical methods,Phương pháp thống kê Trung tâm Học liệu Trường Đại học Cần Thơ