Power Quality Measurement And Analysis Using Higher Order Statistics: Understanding Hos Contribution on The Smart(er) Grid

Learn risk assessment and analysis using precise measurements for effective risk management with the Open FAIR model

Written by esteemed social science research authors Earl R. Babbie, William E. Wagner, and Jeanne Zaino, Adventures in Social Research: Data Analysis Using IBM® SPSS® Statistics, Ninth Edition encourages students to practice SPSS as they read about it, providing a practical, hands-on introduction to conceptualization, measurement, and association through active learning.

This book engages with the debate by considering some of the social, public health, economic and scientific issues that relate to the contribution made by airborne pollutants to the observable trending variances in weather, climate and atmospheric conditions. This book will appeal to scholars, to students and generally to those interested in the following contemporary thought in the matter of environment pollution, air quality and the issues of climate and atmosphere the world is facing today.

This book employs different parametric and non-parametric panel data models which have been used in history of developed panel data efficiency measurement literature. It assesses the differences of models based on characteristics and efficiency scores measurement using a systematic sensitivity analysis of the results. On the whole twelve parametric and four nonparametric models were studied. Parametric models are classified in four groups in terms of the assumptions made on the temporal behavior of inefficiency.