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Partial-linear single-index transformation models with censored data
In studies with time-to-event outcomes, multiple, inter-correlated, and time-varying covariates are commonly observed. It is of great interest to...
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Likelihood inference for unified transformation cure model with interval censored data
In this paper, we extend the unified class of Box–Cox transformation (BCT) cure rate models to accommodate interval-censored data. The probability of...
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Response Transformation
The primary goal of response transformation is to induce additivity of effects; simplification is achieved by reducing the number of interactions or...
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Efficiency of the Breslow estimator in semiparametric transformation models
Semiparametric transformation models for failure time data consist of a parametric regression component and an unspecified cumulative baseline...
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Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter
Model-based clustering is a popular application of the rapidly develo** area of finite mixture modeling. While there is ample work focusing on...
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Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors
The class of semiparametric or transformation models has been presented in the literature as a promising alternative for the analysis of lifetime...
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Efficient Estimation of Semiparametric Transformation Model with Interval-Censored Data in Two-Phase Cohort Studies
Interval sampling and two-phase sampling have both been advocated for studying rare failure outcomes. With few exceptions focusing on specific...
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Business Transformation Using Big Data Analytics and Machine Learning
Artificial intelligence (AI), big data, and business analytics are the most commonly used and complete common sense cognitive tools in the ecospheres...
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Digital Transformation for the Competitiveness of Export Companies Through Outsourcing, Chiclayo – Peru
The objective of this article was to determine how digital transformation would allow optimizing the outsourcing of production processes in exporting...
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Equivalence tests for the difference of two survival functions under the class of Box–Cox transformation model
Establishing equivalence of two treatments has received a lot attention in the pharmaceutical industry. For assessing equivalence of two survival...
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A generalisation of the aggregate association index (AAI): incorporating a linear transformation of the cells of a 2 × 2 table
The analysis of aggregate, or marginal, data for contingency tables is an increasingly important area of statistics, applied sciences and the social...
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Poisson Counts, Square Root Transformation and Small Area Estimation
The paper intends to serve two objectives. First, it revisits the celebrated Fay-Herriot model, but with homoscedastic known error variance. The...
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Risk and Reliability Analysis in the Era of Digital Transformation
Evolution of Industry 4.0 and the integration of the digital, physical, and human worlds, reliability and safety engineering must evolve in order to...
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Robust beta regression through the logit transformation
Beta regression models are employed to model continuous response variables in the unit interval, like rates, percentages, or proportions. Their...
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Specification testing in semi-parametric transformation models
In transformation regression models, the response is transformed before fitting a regression model to covariates and transformed response. We assume...
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Multivariate Normal Score Transformation
For the geostatistical simulation of a compositional random function via a Gaussian simulation algorithm, it is often necessary to transform the...
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Digital Transformation in the Luxury Industry
Digital transformation has penetrated every industry, along with the luxury goods industry. While most luxury firms stand passively towards...
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Bi-level variable selection in semiparametric transformation models with right-censored data
In this article, we investigate bi-level variable selection approaches in semiparametric transformation models when a grou** structure of...
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Transformation mixture modeling for skewed data groups with heavy tails and scatter
For decades, Gaussian mixture models have been the most popular mixtures in literature. However, the adequacy of the fit provided by Gaussian...
