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Applied Statistics at the Leading Edge

Editat de Mohammad Ahsanullah
en Limba Engleză Hardback – 20 feb 2004
Computers have taken a permanent place in almost every human endeavour in the last 20 years. This infiltration requires a learning process on the part of the people utilising them and realising where and how they 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 many others where the statistical studies are essential before the next step can be taken. This book gathers together the latest research in this dynamic and link field.
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Specificații

ISBN-13: 9781590339121
ISBN-10: 1590339126
Pagini: 164
Ilustrații: tables
Dimensiuni: 260 x 180 mm
Greutate: 0.55 kg
Ediția:New.
Editura: Nova Science Publishers Inc
Colecția Nova Science Publishers, Inc (US)

Cuprins

Contents: Preface; Test for Proportional Hazards Assumption: An Application to Heart Transplant Data; Survival Analysis: A New Approach to Analysing Caries Clinical Trials; Optimum Confidence Intervals for the Bernoulli Success Probability; Testing the Hypothesis that a Point Process Has a Markov-Dependent Interval Sequence; Prediction in Growth Curve Models under Markov Covariance Structure; Singly Linked Block Designs Through Non-Adaptive Hypergeometric Group Testing Designs for Identifying at Most Two Defectives and Their Optimalities; Confidence Limits for the Availability of a Complex Two Unit System with Varying Repair Rate; Fitting Bathtub and Multimodal Hazard Curves Via Poly-hazard Models; Ranked Set Sampling from a Dichotomous Population; On the Estimation of the Pareto Parameter under Entropy Loss Function; Record Values from Generalised Power Function Distribution and Associated Inference; A Statistical Method for Testing Compliance: Unequally Spaced Longitudinal Study; Inference for Saturated Orthogonal Designs for Fitting First-Order Models; Calculating the Power of Permutation Tests: A Comparison between Nonparametric Estimators; Index.