## A Modern Course on Statistical Distributions in Scientific Work: Proceedings of the NATO Advanced Study Institute held at the University of Calgagry, Calgary, Alberta, Canada July 29 – August 10, 1974Ganapati P. Patil, S. Kotz, J.K. Ord These three volumes constitute the edited Proceedings of the NATO Advanced Study Institute on Statistical Distributions in Scientific Work held at the University of Calgary from July 29 to August 10, 1974. The general title of the volumes is "Statistical Distributions in Scientific Work". The individual volumes are: Volume 1 - Models and Structures; Volume 2 - Model Building and Model Selection; and Volume 3 - Characterizations and Applications. These correspond to the three advanced seminars of the Institute devoted to the respective subject areas. The planned activities of the Institute consisted of main lectures and expositions, seminar lectures and study group dis cussions, tutorials and individual study. The activities included meetings of editorial committees to discuss editorial matters for these proceedings which consist of contributions that have gone through the usual refereeing process. A special session was organized to consider the potential of introducing a course on statistical distributions in scientific modeling in the curriculum of statistics and quantitative studies. This session is reported in Volume 2. The overall perspective for the Institute is provided by the Institute Director, Professor G. P. Pati1, in his inaugural address which appears in Volume 1. The Linnik Memorial Inaugural Lecture given by Professor C. R. Rao for the Characterizations Seminar is included in Volume 3. |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Contents

2 | |

T Cacoullos | 19 |

Discrete Lagrangian Distributions P C Consul | 41 |

the Katz Family of Discrete Distributions | 58 |

Power Series Distributions G P Patil | 83 |

and Applications in FinanceA Survey and | 87 |

Mixtures Javad Behboodian | 103 |

Distribution and Its Application K W Mardia | 113 |

MULTIVARIATE CONCEPTS AND MODELS | 247 |

Kumar Jogdeo 2 71 | 271 |

J J J Roux | 281 |

CERTAIN MULTIVARIATE DISTRIBUTIONS | 300 |

Marginal Laws Are Gamma and Which Has | 319 |

Durling | 329 |

Vectors Multivariate NonCentral Case | 345 |

J Tiago de Oliveira | 355 |

Special Functions and Their Applications | 131 |

of Distributions A Brief Survey | 161 |

Estimator A L Rukhin | 173 |

MOMENTSRELATED PROBLEMS | 185 |

Distribution Functions and Some Moment Problems | 203 |

LIMIT DISTRIBUTIONS AND PROCESSES | 212 |

Stochastic Process Estimation C C Heyde | 227 |

and P C Consul | 241 |

SAMPLING DISTRIBUTIONS AND TRANSFORMATIONS | 363 |

Special Reference to Type IV K O Bowman | 381 |

Matrices W B Waikar | 391 |

Products and Ratios of Random Variables | 401 |

of the FStatistic Under the Randomization | 407 |

419 | |

### Other editions - View all

A Modern Course on Statistical Distributions in Scientific Work: Proceedings ... Ganapati P. Patil,S. Kotz,J.K. Ord No preview available - 2011 |

A Modern Course on Statistical Distributions in Scientific Work: Volume 3 ... Ganapati P. Patil,S. Kotz,J.K. Ord No preview available - 2011 |

### Common terms and phrases

applications asymptotic basic LPD beta Biometrika Burr distribution butions Cacoullos CB family characteristic function Charalambides coefficients considered converges corresponding covariance matrix defined denotes density function derived discrete distributions distri distribution function Distributions in Scientific Dordrecht-Holland E1CB E2CB families equation equivariant estimator expansion exponential exponential family finite mixtures G. P. Patil gamma gamma distribution given GPSD Hence hypergeometric function II/IIIA independent integer Kemp Kotz kurtosis Lagrangian Lemma Mardia marginal Math method models moments multivariate distributions MVU estimator mvue negative binomial distribution noncentral normal distribution obtained parameters Pearson Poisson Poisson distribution polynomials power series distributions probability distribution probability relations problem properties random matrices random variable Reidel Publishing Company sample Sankhya sequence stable laws Statistical Distributions symmetric Theorem theory tion transformation truncation Type univariate values variance Wishart distribution zonal polynomials