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Normalised Clustering Accuracy: An Asymmetric External Cluster Validity Measure
There is no, nor will there ever be, single best clustering algorithm. Nevertheless, we would still like to be able to distinguish between methods...
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Use of Additional Information for Current Status Data with Two Competing Risks and Missing Failure Types
In practice, the failure type for some subjects may be missing or uncertain in competing risks data. Analysis of such uncertain failure type in...
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Marginal analysis of count time series in the presence of missing observations
Time series in real-world applications often have missing observations, making typical analytical methods unsuitable. One method for dealing with...
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Sensitivity and Specificity versus Precision and Recall, and Related Dilemmas
Many evaluations of binary classifiers begin by adopting a pair of indicators, most often sensitivity and specificity or precision and recall....
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Multiple imputation with competing risk outcomes
In time-to-event analyses, a competing risk is an event whose occurrence precludes the occurrence of the event of interest. Settings with competing...
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Variable selection and structure identification for additive models with longitudinal data
This paper proposes a polynomial structure identification (PSI) method for variable selection and model structure identification of additive models...
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The Extended Anderson and Hauck Tests and Sample Size Procedures for Equivalence Assessment in Simple Linear Regressions
This study describes extended Anderson and Hauck procedures for equivalence testing of slope coefficients and mean responses in one and two...
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Comparing Treatment Effects for the AB : BA Crossover Design with Continuous Responses: An Alternative Nonparametric Approach
This work focuses on the nonparametric procedures which are devised as an alternative to analyse the repeated measurements arising in the basic...
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Dirichlet compound negative multinomial mixture models and applications
In this paper, we consider an alternative parametrization of Dirichlet Compound Negative Multinomial (DCNM) using rising polynomials. The new...
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Inferences for Fixed Effects Based Regression Parameters in a Finite Population Setup Using Two-stage Cluster Sample
In a clusters based infinite/super population (SP) setup, the inference complexity for regression parameters depend on the cluster correlations...
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On the cost of risk misspecification in insurance pricing
In the non-life insurance industry, pricing is often done relative to individual criteria of policyholders. Various classification algorithms are in...
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A new integrated discrimination improvement index via odds
Consider adding new covariates to an established binary regression model to improve prediction performance. Although difference in the area under the...
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Modeling and inferences for bounded multivariate time series of counts
This paper considers modeling bounded multivariate time series of counts and the inferential procedures of this model. For modeling, we introduce a...
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Efficient Augmented Block Designs for Unreplicated Test Treatments Along with Replicated Controls
Augmented block designs for unreplicated test treatments are investigated under the A - and MV -criteria with respect to test versus test, control...
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On Average Modulus of Random Polynomials over a Unit Circle and Disc
This article presents some interesting and novel results concerning the average modulus of random polynomials on the unit circle and the unit disc,...
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Flat rent price prediction in Berlin with web scraping
Internet data pose a challenge to the traditional system of official statistics, which relies on more conventional sources such as surveys and...
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Ranking handball teams from statistical strength estimation
In this work, we present a methodology to estimate the strength of handball teams. We propose the use of the Conway-Maxwell-Poisson distribution to...
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Exact distribution of change-point MLE for a Multivariate normal sequence
This paper presents the derivation of an expression for computing the exact distribution of the change-point maximum likelihood estimate (MLE) in the...