摘要:

Methods are derived for constructing prediction limits for the minimum or. more generally, the jth smallest of some set of future observations from a Weibull or extreme-value population. Methods are also given for testing the difference of Weibull shape or scale parameters. All methods derived apply to both complete and censored samples.

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489754

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

Two types of sampling plans are examined as alternatives to simple random sampling in Monte Carlo studies. These plans are shown to be improvements over simple random sampling with respect to variance for a class of estimators which includes the sample mean and the empirical distribution function.

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489755

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

Some Bayesian results are derived for the inverse Gaussian family of distributions with noninformative reference prior as well as the natural conjugate prior. With a particular parameterization, the posterior distributions are found to have remarkable similarities with the corresponding results for the normal model. Finally, an application of the Bayesian results is given toward analyzing some equipment failure data.

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489756

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

When determining the generalizedT2statistics for a sample ofnobservations using principal components, the occasion may arise where one is interested not in the average of the deviations of a particular component from its aim or standard, but the average of the absolute values of these deviations because it is the magnitude, not the direction. which is of interest. A largesample approximation suitable for quality control applications is proposed to still enable one to include this component in the computation ofTM2. The adequacy of this approximation is examined and a numerical example is included.

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489757

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

The problem of structural identifiability in compartmental models is examined and illustrated with a three-compartment model used by Jennrich and Bright [4] and Wiggins [13] to describe the passage ofsulfate through the blood of a baboon. Attention is drawn to the need to investigate stochastic models appropriate to the passage of radioactive tracers through biological compartment system.

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489758

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

Some exact percentage points are given for the ratio of the largest eigenvalue to the trace ofZ′Z, whereZis a matrix having independent standard normal variates as entries. These percentage points are useful in certain analysis of variance models for two-way cross-classilied data, for which only approximations have been given to date. They also have implications for principal component analysis.

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489759

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

TheWtransformation is needed at each step in the maximum likelihood or restricted maximum likelihood procedure for estimation of the parameters of the mixed A.O.V. model. This paper develops an efficient algorithm for computing theWtransformation needing only about a dozen lines of Fortran or PL/I code.

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489760

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

摘要:

Resolution III designs for 43·2mexperiments are constructed. These plans are available in 4nruns, wherenis a multiple of four, and permit estimation of all main-effects orthogonally. Once the plans for 43·2mexperiments are obtained, one can get orthogonal main-effect plans for experiments of the type 4r3s2mby collapsing the levels of one or more four-level factors.

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489761

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489762

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor

ISSN:0040-1706    

DOI:10.1080/00401706.1979.10489764

出版商:Taylor & Francis Group    

年代:1979

数据来源: Taylor