Journal of Data Science, v.9, no.4, p.487-500

Tests of Independence with Incomplete Contingency Tables Using Likelihood Functions

by Shin-Soo Kang and Michael D. Larsen

• Full Text (PDF): [236.89KB]

Journal of Data Science, v.9, no.4, p.501-512

True-Value Regression with Non-Response

by Gordon G. Bechtel

• Full Text (PDF): [248.19KB]

Journal of Data Science, v.9, no.4, p.513-528

A Multivariate Non-Parametric Hazard Model for Earthquake Occurrences in Turkey

by Nihal Ata and Gamze Ozel

• Full Text (PDF): [496.84KB]

Journal of Data Science, v.9, no.4, p.529-548

Confidence Intervals for the Risk Ratio Using Double Sampling with Misclassified Binomial Data

by Dewi Rahardja and Dean M. Young

• Full Text (PDF): [285.08KB]

Journal of Data Science, v.9, no.4, p.549-564

Selection of Smoothing Parameter for One-Step Sparse Estimates with Lq Penalty

by Masaru Kanba and Kanta Naito

• Full Text (PDF): [295.87KB]

Journal of Data Science, v.9, no.4, p.565-584

Predicting Bankruptcy with Robust Logistic Regression

by Richard P. Hauser and David Booth

• Full Text (PDF): [258.11KB]

Journal of Data Science, v.9, no.4, p.585-605

A Latent-Class Model for Clustering Incomplete Linear and Circular Data in Marine Studies

by Francesco Lagona and Marco Picone

• Full Text (PDF): [660.32KB]

Journal of Data Science, v.9, no.4, p.607-623

To Do or Not To Do Business with a Country: A Robust Classification Approach

by Kuntal Bhattacharyya, Pratim Datta and David Booth

• Full Text (PDF): [256.37KB]

Journal of Data Science, v.9, no.4, p.625-637

Inference for Semiparametric AUC Regression Models with Discrete Covariates

by Lin Zhang, Yan D. Zhao and Jack D. Tubbs

• Full Text (PDF): [246.52KB]

Journal of Data Science, v.9, no.4, p.639-659

On the Zero-Inflated Count Models with Application to Modelling Annual Trends in Incidences of Some Occupational Allergic Diseases in France

by Joseph Ngatchou-Wandji and Christophe Paris

• Full Text (PDF): [323.89KB]