Mathematical Statistics with Applications provides a calculus-based theoretical introduction to mathematical statistics while emphasizing interdisciplinary applications as well as exposure to modern statistical computational and simulation concepts that are not covered in other textbooks. Includes the Jackknife, Bootstrap methods, the EM algorithms and Markov chain Monte Carlo methods. Prior probability or statistics knowledge is not required. * Step-by-step procedure to solve real problems, making the topic more accessible * Exercises blend theory and modern applications * Practical, real-world chapter projects * Provides an optional section in each chapter on using Minitab, SPSS and SAS commands * Student Solutions Manual, Instructors Manual and data disk availableExample 14.7.2 Table 14.4 gives dealer cost and sticker price for four-door base models of 25 small and midsize cars (source: Money Magazine, March 2001). ... ( d) For estimation problems, do parametric or nonparametric methods seem more appropriate for the data? ... dollars) (in dollars) Acura Integra GS 19, 479 21, 600 Chevy Cavalier 12, 398 13, 260 Chevy Impala LS 21, 251 23, 225 Chrysler Concordanbsp;...

Title | : | Mathematical Statistics with Applications |

Author | : | K.M. Ramachandran, Chris P. Tsokos |

Publisher | : | Academic Press - 2009-03-13 |

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