Statistical Modelling and Analysis Techniques provides insights into modelling and analytic aspects of random events and discusses multivariate data analysis, data mining, inference for statistical models, sampling methods and reliability studies. An article dedicated to Professor Ronald A. Fisher containing details on his life and contribution to statistical research is also included to motivate young researchers. The editors believe that readers will find the articles interesting and useful for furthering their research.

Preface / Fisher Effect on Statistics Research in India: A Tribute / Ranked Set Sampling when units are to be included from Several Populations / Confidence Limits for Stationary Rate of Disappointments of an Intermittently used Two Unit Warm Standby System / Big Data Analytics / Augmented Gamma Strength Reliability Models for Series and Parallel Coherent System / On Selecting Best Component in a Two Component Parallel System: Bivariate Pareto Case / Optimal Reliability Test Plan for a Parallel System with Covariate Information / On the use of Concordance Probability in Life Distributions / On the use of Least Squares, Likelihood and Spacings in Estimating the Parameters of Generalized Gamma Distribution / Some Modified Ratio Estimators for Estimation of Population Mean Using Known Parameters of an Auxiliary Variable / Testing the Precision of Linear Combination of a Multivariate ROC (MROC) Model / Analysis of Longitudinal Unbalanced Growth Data of Pigs Using Mixed Linear Models / Stage Dependent Cancer Cell Growth Studies Based on Homogeneous Birth, Death and Mutation Processes / Functional Relationship between Brier Score and Area Under the Hybrid ROC Curve.

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