Class Notes in Operations Research, Statistics, and Probability, Volume 1
This book covers a broad range of mathematical and statistical concepts that includes Mathematical Statistics, Non-Parametric Statistics, Design of Experiments, Probability, Operations Research, and Stochastic Models. The topics covered include: statistics, stochastic models, mathematics, operations research, non-parametric statistics, design of experiments, theory of probability, probability, ANOVA, goodness of fit, density functions, cdf, pdf, Baye's formula, Markov chains, expectation, conditional expectation, convolution, queueing theory, inventory theory, network optimization, dijkstra's algorithm, shortest path, estimating parameters, moments, method of moments, sample size, maximum likelihood estimators, Rao-Cramer inequality, hypothesis testing, contigency tables, nested designs, latin square designs, randomized block design, factorial designs, fractional factorial designs, split plot design, repeated measures, Siegel-Tukey test, Smirnov test, Wilcoxon rank sum statistic, Mann-Whitney rank sum statistic, asymptotic power, power, confidence limits, confidence intervals, sign test, variance estimation, signed rank test, shift model, shift parameter, Kruskal-Wallis test, and multiple comparisions.
|Date of creation:||12 Aug 2005|
|Date of revision:|
|Note:||Type of Document - pdf; pages: 658. This book is volumn 1 of 2.|
|Contact details of provider:|| Web page: http://184.108.40.206|
When requesting a correction, please mention this item's handle: RePEc:wpa:wuwpge:0508003. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (EconWPA)
If references are entirely missing, you can add them using this form.