Multivariate Analysis, Design of Experiments, and Survey Sampling (eBook, ePUB)

Redaktion: Ghosh, Subir

• Format: ePub

Produktbeschreibung

"Describes recent developments and surveys important topics in the areas of multivariate analysis, design of experiments, and survey sampling. Features the work of nearly 50 international leaders."

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 698
• Erscheinungstermin: 29. April 1999
• Englisch
• ISBN-13: 9781040219331
• Artikelnr.: 73755979

Autorenporträt

Subir Ghosh

Inhaltsangabe

Sampling designs and prediction methods for Gaussian spatial processes
design techniques for probabilistic sampling of items with variable monetary value
small area estimation -a Bayesian perspective
Bayes sampling designs for selection procedures
cluster coordinated composites of diverse datasets on several spatial scales for designing extensive environmental sample surveys - prospectus on promising protocols
corrected confidence sets for sequentially designed experiments, II -examples
resampling marked point processes
graphical Markov models in multivariate analysis
robust regression with censored and truncated data
multivariate calibration
some consequences of random effects in multivariate survival models
a unified methodology for constructing multivariate autoregressive models
statistical model evaluation and information criteria
multivariate rank tests
asymptotic expansions of the distribution of some test statistics for elliptical populations
a review of variance estimators with extensions to multivariate nonparametric regression models
on affine invariant sign and rank tests in one and two sample multivariate problems
correspondence and component analysis
growth curve models
dealing with uncertainties in queues and networks of queues
optimal Bayesian design for a logistic regression model - geometric and algebraic approaches
structure of weighing mattrices of small order and weight.