Statistics and its Applications

Chapter 1. Abisa Sinha, Fragmentation of Young Massive Clusters: A Hybrid Monte–Carlo Simulation Study.- Chapter 2. Anamika Dutta and Kishore K. Das, A Study on DNA Sequence of Rice using Scoring Matrix Method and ANOVA Technique.- Chapter 3. Sungsu Kim and Ashis SenGupta, Regressions Involving Circular Variables: An Overview.- Chapter 4. Ramesh M. Mirajkar and Bhausaheb G. Kore, On Construction of Prediction Interval for Weibull Distribution.- Chapter 5. Thorsten Dickhaus, Combining high-Dimensional Classification and Multiple Hypotheses Testing for the Analysis of Big Data in Genetics.- Chapter 6. Tapan Kumar Chakrabarty and Dreamlee Sharma, The Quantile-based Skew Logistic Distribution with Applications.- Chapter 7. Jiming Jiang, A Note on Monte–Carlo Jackknife: McJack and Big Data.- Chapter 8. Jogesh Babu, Introduction to the Detection and Statistical Challenges of Exoplanets.- Chapter 9. Thuan Nguyen and Jiming Jiang, A Connection between the Observed Best Prediction and the Fence Model Selection Method.- Chapter 10. Siegfried Gabler, Matthias Ganninger and Partha Lahiri, A New Approximation to the True Randomization-Based Design Effect.- Chapter 11. Madhura Mandal and Premadhis Das, Confounded Factorial Design with Partial Balance and Orthogonal Sub- Factorial Structure.- Chapter 12. Christian P. Robert, Beyond the Bayes Factor, a New Bayesian Paradigm for Handling Hypothesis Testing.- Chapter 13. Tommy Wright, No Calculation when Observation Can be Made.- Chapter 14. Sumanta Adhya, Debanjan Bhattacharjee and Tathagata Banerjee, Design Weighted Quadratic Inference Function Estimators for Superpopulation Parameters.- Chapter 15. Jyotirmoy Sarkar and Bikas K. Sinha, Detecting a Fake Coin of a Known Type.