Volume 9, Number 4, October 2011

  • Shin-Soo Kang and Michael D. Larsen
    Tests of Independence with Incomplete Contingency Tables Using Likelihood Functions
  • Gordon G. Bechtel
    True-Value Regression with Non-Response
  • Nihal Ata and Gamze Ozel
    A Multivariate Non-Parametric Hazard Model for Earthquake Occurrences in Turkey
  • Dewi Rahardja and Dean M. Young
    Confidence Intervals for the Risk Ratio Using Double Sampling with Misclassified Binomial Data
  • Masaru Kanba and Kanta Naito
    Selection of Smoothing Parameter for One-Step Sparse Estimates with Lq Penalty
  • Richard P. Hauser and David Booth
    Predicting Bankruptcy with Robust Logistic Regression
  • Francesco Lagona and Marco Picone
    A Latent-Class Model for Clustering Incomplete Linear and Circular Data in Marine Studies
  • Kuntal Bhattacharyya, Pratim Datta and David Booth
    To Do or Not To Do Business with a Country: A Robust Classification Approach
  • Lin Zhang, Yan D. Zhao and Jack D. Tubbs
    Inference for Semiparametric AUC Regression Models with Discrete Covariates
  • Joseph Ngatchou-Wandji and Christophe Paris
    On the Zero-Inflated Count Models with Application to Modelling Annual Trends in Incidences of Some Occupational Allergic Diseases in France

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

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

True-Value Regression with Non-Response

by Gordon G. Bechtel

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

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

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

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

Predicting Bankruptcy with Robust Logistic Regression

by Richard P. Hauser and David Booth

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

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

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

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