Integrated study of probability and statistics/ Calanthia Wright ed.

Vol II:
Direct determination of smoothing parameter for penalized spline regression -- Improved inference for moving average disturbances in nonlinear regression models -- A batch arrival single server queue with server providing general service in two fluctuating modes and reneging during vacation and breakdowns -- Convergence in distribution of some self-interacting diffusions -- A general result on the mean integrated squared error of the hard thresholding wavelet estimator under α-mixing dependence -- A new lifetime distribution and its power transformation -- Estimating the reliability function for a family of exponentiated distributions -- Point-symmetric multivariate density function and its decomposition -- Parametric regression models using reversed hazard rates -- A study on the chain ratio-type estimator of finite population variance -- Ratio estimator in adaptive cluster sampling without replacement of networks -- Bandwidth selection for recursive kernel density estimators defined by stochastic approximation method -- Sum of bernoulli mixtures: beyond conditional independence -- The exponentiated half-logistic family of distributions: properties and applications -- A study of probability models in monitoring environmental pollution in Nigeria -- An improved class of chain ratio - product type estimators in two-phase sampling using two auxiliary variables -- A software reliability model using quantile function -- Increased statistical efficiency in a lognormal mean model

The book attempts to help the readers understand the more advanced concepts of probability and statistics. The various theories in both disciplines are given an in-depth look. Current and proposed research on new methodologies and their applications at a practical level are discussed as well. Students in these disciplines will find the various case studies and researches mentioned in the book helpful in furthering their interest in these fields.