Intro; Contents; Fragmentation of Young Massive Clusters: A Hybrid Monte Carlo Simulation Study; 1 Introduction; 2 Data Set of Binary Stars; 3 Bi-variate Distribution; 3.1 Distribution Fit; 3.2 Goodness of Fit Test; 4 Fragmentation and Mass Distribution; 4.1 Simulation of Binary Stars; 4.2 Simulation of Single Stars; 5 Result and Discussion; 5.1 Initial Values of the Parameters; 5.2 Resulting Mass Spectrum; References; A Study on DNA Sequence of Rice Using Scoring Matrix Method and ANOVA Technique; 1 Introduction; 2 Description of Data; 2.1 Source of Data; 2.2 Arrangement of Data.
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2.4 Gravitational Microlensing Method2.5 Transit Method; 3 NASA's Kepler Mission; 4 Statistical Methods; 5 Conclusions; References; A Connection Between the Observed Best Prediction and the Fence Model Selection Method; 1 Introduction; References; A New Approximation to the True Randomization-Based Design Effect; 1 Introduction; 2 One-Stage Cluster Sampling: The Case of Equal Cluster Size; 2.1 Simulation; 3 One-Stage Cluster Sampling: The Case of Unequal Cluster Sizes; 4 The General Case; 5 Discussion; References.
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3 Methodology4 Results and Discussion; 5 Conclusion; Appendix; References; Regressions Involving Circular Variables: An Overview; 1 Introduction; 2 Circular-Linear Regression Models; 3 Circular-Circular Regression Models; 4 Linear-Circular Regression Models; 5 Multivariate Multiple Circular Regression Models; 6 Asymmetric Circular Probability Distributions; 7 Future Interesting Topics in Directional Regression Models; References; On Construction of Prediction Interval for Weibull Distribution; 1 Introduction; 2 Existing Methods; 3 The Proposed Prediction Interval (PI).
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3.1 PI for Known Shape Parameter3.2 PI for Unknown Shape Parameter; 4 Comparison Among the Methods; 4.1 Simulation Study; 4.2 Results of Simulation Study; 5 Application; 6 Conclusion; References; Combining High-Dimensional Classification and Multiple Hypotheses Testing For the Analysis of Big Data in Genetics; 1 Introduction and Motivation; 2 Proposed Methodology; 3 Summary of Results; 4 Implementation and Software; References; The Quantile-Based Skew Logistic Distribution with Applications; 1 Introduction; 2 Special Cases; 3 Shape of the Distribution; 4 Properties.
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4.1 Quantile Density Function4.2 Density Quantile Function; 4.3 Moments; 4.4 Quartiles; 4.5 Reflection of FSLD; 4.6 L-Moments; 5 Random Number Generation; 6 Order Statistics; 7 Inference and Goodness of Fit; 7.1 Inference; 7.2 Goodness of Fit Test; 8 Data Fitting; 8.1 Simulation Study; 8.2 Application to Real Life Data; 9 Conclusion; References; A Note on Monte-Carlo Jackknife: McJack and Big Data; References; A Review of Exoplanets Detection Methods; 1 Introduction; 2 Methods of Exoplanet Detection; 2.1 Doppler Shift/Radial Velocity Method; 2.2 Pulsar Timing Method; 2.3 Direct Imaging Method.
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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.--