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Applied Statistics Research Progress

Editat de Mohammad Ahsanullah
en Limba Engleză Hardback – 30 iun 2008
Computers have taken a permanent place in almost every human endeavor in the last 20 years. This infiltration requires a learning process on the part of the people utilizing them and realizing where and how computers can be best used beyond the basic and obvious applications. Statistics is an example of their application in many diverse fields to reach conclusions and make projections never before possible. Beyond this, applied statistics is rapidly becoming not only an instrument, but an integral part of the advance of knowledge. There are many fields such as medicine, biology, weather prediction, military planning, and numerous others where the statistical studies are essential before the next step can be taken. This new book presents the latest research in the field from around the globe.
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Specificații

ISBN-13: 9781604561036
ISBN-10: 1604561033
Pagini: 139
Ilustrații: illustrations
Dimensiuni: 217 x 281 x 16 mm
Greutate: 0.66 kg
Editura: Nova Science Publishers Inc

Cuprins

Preface; Elliptically Symmetric Pearson Type II: Distribution of the Product and Ratio; Useful Properties Of The Three-Parameter Burr XII Distribution; The Doubly Noncentral Multivariate Beta Distribution; Empirical Bayes Estimators for the Reproduction Parameter of Borel-Tanner Distribution; Alternative Ranked Set Sample Estimators for the Variance of a Sample Proportion; Estimation of the Parameters of the Inverse Weibull Distribution With Progressive Censoring Data; On a Single Seerver Queue With Phase Type Service and Phase Type Server Vacations based on Exhaustive Service Under a Single Vacation Policy; Bayesian Estimation Procedures for the Zero-Truncated Negative Binomial Distribution; A Method of Estimation for Two-stage Unequal Probability Sampling with Randomly Missing Second-Stage Units; A Comparative Study of Permutation Tests for Unreplicated Two-Level Factorial Experiments; A New Association Test in Linear Models With Application To Experimental Designs; Selecting the Least Dispersive Population; A New Approach To Determine The Asymmetry of A DISTRIBUTION; Index.