1. |
EXTENDED ANALYSIS FOR RANKED DATA |
|
Australian Journal of Statistics,
Volume 35,
Issue 3,
1993,
Page 257-262
D.J. Best,
Preview
|
PDF (257KB)
|
|
摘要:
SummaryStandard analyses for ranked data or data which are analyzed using ranks are extended to give better comparisons. The new analysis allows detection of significant quadratic or dispersion effects.
ISSN:0004-9581
DOI:10.1111/j.1467-842X.1993.tb01333.x
出版商:Blackwell Publishing Ltd
年代:1993
数据来源: WILEY
|
2. |
NEIGHBOUR ANALYSIS WITH ADJUSTMENT FOR INTERPLOT COMPETITION |
|
Australian Journal of Statistics,
Volume 35,
Issue 3,
1993,
Page 263-270
M. Pithuncharurnlap,
K.E. Basford,
W.T. Federer,
Preview
|
PDF (499KB)
|
|
摘要:
SummaryIn field experiments involving a large number of experimental plots, a neighbour analysis can be used to control environmental variation by estimating the trend within blocks. The effect of interplot competition is another important source of variation which has an influence on the estimation of treatment contrasts. To reduce the effect of the variation from these sources and to improve the precision of comparison between treatments, a spatial model is proposed for incorporating both trend effect and interplot competition. It is a modification to the residual maximum likelihood neighbour analysis of Gleeson&Cullis (1987) using the two neighbouring treatment effects to estimate interplot competition. A real example is used to illustrate this methodology. The results indicate that the extended model gives no appreciable difference in standard error of mean differences compared with the model taking into account the trend effect only. However, the rankings of estimated treatment means do differ. More research using both real and simulated data is required before such models that incorporate trend and competition effects can be confidently recommended.
ISSN:0004-9581
DOI:10.1111/j.1467-842X.1993.tb01334.x
出版商:Blackwell Publishing Ltd
年代:1993
数据来源: WILEY
|
3. |
EXPECTATIONS OF RATIOS OF QUADRATIC FORMS IN NORMAL VARIABLES: EVALUATING SOME TOP‐ORDER INVARIANT POLYNOMIALS |
|
Australian Journal of Statistics,
Volume 35,
Issue 3,
1993,
Page 271-282
Murray D. Smith,
Preview
|
PDF (563KB)
|
|
摘要:
SummaryChikuse's (1987) algorithm constructs top‐order invariant polynomials with multiple matrix arguments. Underlying it is a set of simultaneous equations for which all integer solutions must be found. Each solution represents a component of the sum of terms which comprise the polynomial. The system of equations has a specialised structure which may be exploited to obtain a polynomial withrmatrix arguments in terms of a polynomial withr‐1 matrix arguments. This is demonstrated for two particular polynomials that have two matrix arguments. These results are applied to problems involving expectations of ratios of quadratic forme in normal variables; analytic as well as computable formulae are deri
ISSN:0004-9581
DOI:10.1111/j.1467-842X.1993.tb01335.x
出版商:Blackwell Publishing Ltd
年代:1993
数据来源: WILEY
|
4. |
NONPARAMETRIC ESTIMATION OF ANGULAR DISTRIBUTIONS FROM CARTESIAN OBSERVATIONS WITH ERROR |
|
Australian Journal of Statistics,
Volume 35,
Issue 3,
1993,
Page 283-292
G.W. Horgan,
J. Haslett,
Preview
|
PDF (462KB)
|
|
摘要:
SummaryIf angular data are obtained from Cartesian observations, then any measurement error in these observations will produce a particular error structure in the angular data. The paper shows how non‐parametric density estimation by orthogonal series may be performed in this cas
ISSN:0004-9581
DOI:10.1111/j.1467-842X.1993.tb01336.x
出版商:Blackwell Publishing Ltd
年代:1993
数据来源: WILEY
|
5. |
INVERSE SAMPLING FOR DOMAIN ESTIMATION IN A STRATIFIED POPULATION |
|
Australian Journal of Statistics,
Volume 35,
Issue 3,
1993,
Page 293-302
Rahul Mukerjee,
Sujit K. Basu,
Preview
|
PDF (493KB)
|
|
摘要:
SummaryFor a stratified population under inverse sampling, we propose and study an unbiased estimator for the mean of units belonging to a domain with specific features. An alternative, simpler, ratio‐type estimator is also considered. Empirical studies show that strategies based on inverse sampling can be superior to a more traditional strategy based on stratified simple random sampling with a fixed number of draws in each stratu
ISSN:0004-9581
DOI:10.1111/j.1467-842X.1993.tb01337.x
出版商:Blackwell Publishing Ltd
年代:1993
数据来源: WILEY
|
6. |
ROBUST ESTIMATION UNDER TYPE II CENSORING |
|
Australian Journal of Statistics,
Volume 35,
Issue 3,
1993,
Page 303-318
Michael G. Akritas,
Indrani Basak,
Myung Hwi Lee,
Preview
|
PDF (721KB)
|
|
摘要:
SummaryThe properties of robust M‐estimators with type II censored failure time data are considered. The optimal members within two classes of ψ‐functions are characterized. The first optimality result is the censored data analogue of the optimality result described in Hampelet al.(1986); the estimators corresponding to the optimal members within this class are referred to as theoptimal robust estimators.The second result pertains to a restricted class of ψ‐functions which is the analogue of the class of ψ‐functions considered in James (1986) for randomly censored data; the estimators corresponding to the optimal members within this restricted class are referred to as theoptimal James‐type estimators.We examine the usefulness of the two classes of ψ‐functions and find that the breakdown point and efficiency of the optimal James‐type estimators compare favourably with those of the corresponding optimal robust estimators. From the computational point of view, the optimal James‐type ψ‐functions are readily obtainable from the optimal ψ‐functions in the uncensored case. The ψ‐functions for the optimal robust estimators require a separate algorithm which is provided. A data set illustrates the optimal robust estimators for the parameters of th
ISSN:0004-9581
DOI:10.1111/j.1467-842X.1993.tb01338.x
出版商:Blackwell Publishing Ltd
年代:1993
数据来源: WILEY
|
7. |
KERNEL DENSITY ESTIMATION WHEN THE BANDWIDTH IS LARGE |
|
Australian Journal of Statistics,
Volume 35,
Issue 3,
1993,
Page 319-326
M.C. Jones,
Preview
|
PDF (454KB)
|
|
摘要:
SummaryThe performance of kernel density estimation, in terms of mean integrated squared error, is investigated in the opposite of the usual situation, namely when the bandwidth islarge.This affords noteworthy insights including the special role taken by the normal density function as kernel and a tie‐in with ‘semiparametric’ approaches to density estim
ISSN:0004-9581
DOI:10.1111/j.1467-842X.1993.tb01339.x
出版商:Blackwell Publishing Ltd
年代:1993
数据来源: WILEY
|
8. |
INTERRELATIONSHIPS BETWEENlP‐ISOTROPIC DENSITIES ANDlP‐ISOTROPIC SURVIVAL FUNCTIONS, AND DE FINETTI REPRESENTATIONS OF SCHUR‐CONCAVE SURVIVAL FUNCTIONS |
|
Australian Journal of Statistics,
Volume 35,
Issue 3,
1993,
Page 327-332
Yu Hayakawa,
Preview
|
PDF (294KB)
|
|
摘要:
SummaryInterrelationships betweenlP‐isotropic densities andlP‐isotropic survival functions are studied. We obtain representations for densities whose survival functions arelP‐isotropic and for survival functions whose densities arelP‐isotiopic. The former are mixtures of products of Weibull densities and the latter are mixtures of products of Gamma survival functions. Based on a theorem proved by Cooke, we show that de Finetti representations for Schur‐concave survival functions that have the same level sets as a product measure can be represented as mixtures of products of increasing failure rate survival
ISSN:0004-9581
DOI:10.1111/j.1467-842X.1993.tb01340.x
出版商:Blackwell Publishing Ltd
年代:1993
数据来源: WILEY
|
9. |
CANONICAL VARIATE ANALYSIS WITH SPATIALLY‐CORRELATED DATA |
|
Australian Journal of Statistics,
Volume 35,
Issue 3,
1993,
Page 333-344
N.A. Campbell,
H.T. Kiiveri,
Preview
|
PDF (618KB)
|
|
摘要:
SummaryA general canonical variate model is derived when the observations are spatially correlated. For spatial covariance structures resulting from dependence of a pixel on its nearest neighbours, the solution reduces to an analysis of neighbour‐corrected values. The usual analysis, in which spatial correlation is ignored, gives similar canonical vectors but over‐estimates the canonical roots. A formula for approximating the reduction in the canonical roots to adjust for the spatial correlation is gi
ISSN:0004-9581
DOI:10.1111/j.1467-842X.1993.tb01341.x
出版商:Blackwell Publishing Ltd
年代:1993
数据来源: WILEY
|
10. |
THE REDUCED‐RANK GROWTH CURVE MODEL FOR DISCRIMINANT ANALYSIS OF LONGITUDINAL DATA |
|
Australian Journal of Statistics,
Volume 35,
Issue 3,
1993,
Page 345-357
Jeffrey M. Albert,
Anant M. Kshirsagar,
Preview
|
PDF (693KB)
|
|
摘要:
SummaryThis paper presents a method of discriminant analysis especially suited to longitudinal data. The approach is in the spirit of canonical variate analysis (CVA) and is similarly intended to reduce the dimensionality of multivariate data while retaining information about group differences. A drawback of CVA is that it does not take advantage of special structures that may be anticipated in certain types of data. For longitudinal data, it is often appropriate to specify a growth curve structure (as given, for example, in the model of Potthoff&Roy, 1964). The present paper focuses on this growth curve structure, utilizing it in a model‐based approach to discriminant analysis. For this purpose the paper presents an extension of the reduced‐rank regression model, referred to as the reduced‐rank growth curve (RRGC) model. It estimates discriminant functions via maximum likelihood and gives a procedure for determining dimensionality. This methodology is exploratory only, and is illustrated by a well‐known dataset from Grizzle&Allen
ISSN:0004-9581
DOI:10.1111/j.1467-842X.1993.tb01342.x
出版商:Blackwell Publishing Ltd
年代:1993
数据来源: WILEY
|