Statistics and its Applications

1. Front Matter

   Pages i-vi

   PDF

2. Fragmentation of Young Massive Clusters: A Hybrid Monte Carlo Simulation Study

   • Abisa Sinha

   Pages 1-14

3. A Study on DNA Sequence of Rice Using Scoring Matrix Method and ANOVA Technique

   • Anamika Dutta, Kishore K. Das

   Pages 15-23

4. Regressions Involving Circular Variables: An Overview

   • Sungsu Kim, Ashis SenGupta

   Pages 25-33

5. On Construction of Prediction Interval for Weibull Distribution

   • Ramesh M. Mirajkar, Bhausaheb G. Kore

   Pages 35-45

6. Combining High-Dimensional Classification and Multiple Hypotheses Testing For the Analysis of Big Data in Genetics

   • Thorsten Dickhaus

   Pages 47-50

7. The Quantile-Based Skew Logistic Distribution with Applications

   • Tapan Kumar Chakrabarty, Dreamlee Sharma

   Pages 51-73

8. A Note on Monte-Carlo Jackknife: McJack and Big Data

   • Jiming Jiang

   Pages 75-77

9. A Review of Exoplanets Detection Methods

   • G. Jogesh Babu

   Pages 79-87

10. A Connection Between the Observed Best Prediction and the Fence Model Selection Method

    • Thuan Nguyen, Jiming Jiang

    Pages 89-94

11. A New Approximation to the True Randomization-Based Design Effect

    • Siegfried Gabler, Matthias Ganninger, Partha Lahiri

    Pages 95-110

12. Confounded Factorial Design with Partial Balance and Orthogonal Sub-Factorial Structure

    • Madhura Mandal, Premadhis Das

    Pages 111-131

13. Beyond the Bayes Factor, A New Bayesian Paradigm for Handling Hypothesis Testing

    • Christian P. Robert

    Pages 133-137

14. No Calculation When Observation Can Be Made

    • Tommy Wright

    Pages 139-154

15. Design Weighted Quadratic Inference Function Estimators of Superpopulation Parameters

    • Sumanta Adhya, Debanjan Bhattacharjee, Tathagata Banerjee

    Pages 155-161

16. Detecting a Fake Coin of a Known Type

    • Jyotirmoy Sarkar, Bikas K. Sinha

    Pages 163-180

This book discusses recent developments and the latest research in statistics and its applications, primarily in agriculture and industry, survey sampling and biostatistics, gathering articles on a wide variety of topics. Written by leading academics, scientists, researchers and scholars from around the globe to mark the platinum jubilee of the Department of Statistics, University of Calcutta in 2016, the book is a valuable resource for statisticians, aspiring researchers and professionals across educational levels and disciplines.

• Statistics
• Data Analysis
• Astrostatistics
• Bayesian Analysis
• Survey Sampling

• Department of Statistics, University of Calcutta, Kolkata, India

  Asis Kumar Chattopadhyay, Gaurangadeb Chattopadhyay

ASIS KUMAR CHATTOPADHYAY is professor of statistics at the University of Calcutta, Kolkata, India. He has completed his PhD in Statistics from the University of Calcutta. With over 50 papers in reputed international journals, proceedings and edited volume, he has published three books on statistics including Statistical Methods for Astronomical Data Analysis (Springer). He has successfully guided seven PhD and MPhil students. His main interests are in stochastic modelling, demography, operations research and astrostatistics.

GAURANGADEB CHATTOPADHYAY is associate professor of statistics at the University of Calcutta, Kolkata, India. He has completed his PhD in Statistics from the University of Calcutta. He has successfully guided four PhD and MPhil students. An active member of Calcutta Statistical Association, Indian Science Congress Association and Indian Association for Productivity, Quality and Reliability, his main interests are in statistical inference, reliability analysis and survey sampling.

Policies and ethics