Results 31 to 40 of about 478,709 (297)
Maximin and Bayesian Optimal Designs for Regression Models [PDF]
For many problems of statistical inference in regression modelling, the Fisher information matrix depends on certain nuisance parameters which are unknown and which enter the model nonlinearly.
Dette, Holger +2 more
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SSNdesign-An R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networks.
Streams and rivers are biodiverse and provide valuable ecosystem services. Maintaining these ecosystems is an important task, so organisations often monitor the status and trends in stream condition and biodiversity using field sampling and, more ...
Alan R Pearse +6 more
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Economic and Economic-Statistical Designs of Multivariate Coefficient of Variation Chart
From the economic perspective, cost minimization is an important part of Statistical Process Control (SPC). The conventional approach in SPC focuses on monitoring the process mean and variance for possible shifts. In some processes, such as clinical and
Wei Chun Ng +3 more
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Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism [PDF]
Testing for the significance of a subset of regression coefficients in a linear model, a staple of statistical analysis, goes back at least to the work of Fisher who introduced the analysis of variance (ANOVA).
Arias-Castro, Ery +2 more
core +4 more sources
Using statistically designed experiments for safety system optimization [PDF]
This paper describes the method of statistically designed experiments (SDEs) which is used as a structured method to investigate the best setting for a number of decision variables in a system design problem. Traditionally, in the design of safety-critical systems, a trial and error type approach is undertaken to achieve a final system that meets the ...
J D Andrews, L M Bartlett
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Often the Before-After-Control-Impact (BACI) design is suggested as being a statistically powerful experimental design in environmental impact studies.
K.E. Smokorowski, R.G. Randall
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D-optimal designs formulti-response linear mixed models [PDF]
Linear mixed models have become popular in many statistical applications duringrecent years. However design issues for multi-response linear mixed models are rarelydiscussed.
Liu, Xin, Wong, Weng Kee, Yue, Rong-Xian
core
Asymptotic optimal designs under long-range dependence error structure
We discuss the optimal design problem in regression models with long-range dependence error structure. Asymptotic optimal designs are derived and it is demonstrated that these designs depend only indirectly on the correlation function.
Dette, Holger +3 more
core +1 more source
On the Sample Information About Parameter and Prediction [PDF]
The Bayesian measure of sample information about the parameter, known as Lindley's measure, is widely used in various problems such as developing prior distributions, models for the likelihood functions and optimal designs.
Ehsan S. Soofi +6 more
core +1 more source
Design Of Statistically Optimal Morphological Operators
Publication in the conference proceedings of EUSIPCO, Tampere, Finland ...
Barrera, Junior, Dougherty, Edward R.
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