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Adjectives and adverbs as stylometric analysis parameters
The present study considers the role of adjectives and adverbs in stylometric analysis and authorship attribution. Adjectives and adverbs allow both...
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Unit Exponentiated Fréchet Distribution: Actuarial Measures, Quantile Regression and Applications
In this study, a new distribution is developed for modelling responses on the unit interval. Several properties including moments, order statistics...
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Run and Scan Rules in Statistical Process Monitoring
In this paper, we provide an overview of the use of run and scan rules in statistical process monitoring. Although we focus on control charts,...
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Predictive Modeling
This chapter progresses from explanatory to predictive models. Topics include cross-validation, model performance metrics, prediction intervals,...
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Uniformly implementable small sample integrated likelihood ratio test for one-way and two-way ANOVA under heteroscedasticity and normality
ANOVA under normally distributed response and heteroscedastic variances is commonly encountered in biological, behavioral, educational and...
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Multinomial Principal Component Logistic Regression on Shape Data
This paper proposes a linear model that uses the principal component scores in shape data and fits the nominal responses in the tangent space of...
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Using Model Selection Criteria to Choose the Number of Principal Components
The use of information criteria, especially AIC (Akaike’s information criterion) and BIC (Bayesian information criterion), for choosing an adequate...
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High-dimensional disjoint factor analysis with its EM algorithm version
Vichi (Advances in Data Analysis and Classification, 11:563–591, 2017) proposed disjoint factor analysis (DFA), which is a factor analysis procedure...
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R 0
For directly transmitted pathogens, R 0 is per definition the expected number of secondary cases that arise from a typical infectious index case in a...
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Information Extraction: Non-time Series Methods
I focused on time series data for predicting an outcome in Chaps. 3 and 4...
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A class of almost unbiased estimators of population mean using auxiliary variable and auxiliary attribute in systematic sampling
In this article, we propose a class of almost unbiased estimators for estimating the finite population mean under systematic sampling when...
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Boundary estimation with the fuzzy set density estimator
In order to extend the properties of the fuzzy set density estimation method and provide new results related to the nonparametric density estimation...
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Wigner and Wishart ensembles for sparse Vinberg models
Vinberg cones and the ambient vector spaces are important in modern statistics of sparse models. The aim of this paper is to study eigenvalue...
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Identifiability of Gaussian linear structural equation models with homogeneous and heterogeneous error variances
In this work, we consider the identifiability assumption of Gaussian linear structural equation models (SEMs) in which each variable is determined by...
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Gamma Process-Based Models for Disease Progression
Classic chronic diseases progression models are built by gauging the movement from the disease free state, to the preclinical (asymptomatic) one, in...
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Bivariate Kernel Deconvolution with Panel Data
We consider estimation of the density of a multivariate response, that is not observed directly but only through measurements contaminated by...
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Comments on: Deville and Särndal’s calibration: revisiting a 25 years old successful optimization problem
We provide a brief discussion on the development of model calibration techniques and optimal calibration estimation in survey sampling and its...
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Run and Scan Rules in Statistical Process Monitoring
In this paper, we provide an overview of the use of run and scan rules in statistical process monitoring. Although we focus on control charts,...
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Efficient estimation of the varying-coefficient partially linear proportional odds model with current status data
We consider a varying-coefficient partially linear proportional odds model with current status data. This model enables one to examine the extent to...
