TY - BOOK
T1 - Mathematical Statistics with Mathematica
AU - Rose, Colin
AU - Smith, Murray D.
PY - 2002
Y1 - 2002
N2 - This book and software package present a unified approach for doing mathematical statistics with Mathematica. The book, although it assumes preliminary knowledge of calculus, statistics, and probability, assumes no prior knowledge of Mathematica. The emphasis is on problem solving, with less attention paid to the presentation of theorems and their associated proofs, which can be found in traditional texts.The mathStatica software, an add-on to Mathematica, provides a toolset specially designed for doing mathematical statistics. It enables students to solve difficult problems by removing the technical calculations often associated with mathematical statistics. The professional statistician will be able to tackle tricky multivariate distributions, generating functions, inversion theorems, symbolic maximum likelihood estimation, unbiased estimation, and the checking and correcting of textbook formulas. This text would be a useful companion for researchers and students in statistics, econometrics, engineering, physics, psychometrics, economics, finance, biometrics, and the social sciences.
AB - This book and software package present a unified approach for doing mathematical statistics with Mathematica. The book, although it assumes preliminary knowledge of calculus, statistics, and probability, assumes no prior knowledge of Mathematica. The emphasis is on problem solving, with less attention paid to the presentation of theorems and their associated proofs, which can be found in traditional texts.The mathStatica software, an add-on to Mathematica, provides a toolset specially designed for doing mathematical statistics. It enables students to solve difficult problems by removing the technical calculations often associated with mathematical statistics. The professional statistician will be able to tackle tricky multivariate distributions, generating functions, inversion theorems, symbolic maximum likelihood estimation, unbiased estimation, and the checking and correcting of textbook formulas. This text would be a useful companion for researchers and students in statistics, econometrics, engineering, physics, psychometrics, economics, finance, biometrics, and the social sciences.
M3 - Book
SN - 978-0387952345
SN - 0387952349
BT - Mathematical Statistics with Mathematica
PB - Springer Nature
CY - New York
ER -