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Designed for students, young managers and seasoned practitioners alike, this handbook explains the nuts and bolts of the modern logistics and distribution world in plain language. Illustrated throughout, this second edition includes new chapters on areas previously not covered, such as: intermodal transport; benchmarking; environmental matters; and vehicle and depot security.
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This book describes the inferential and modeling advantages that this distribution, together with its generalizations and modifications, offers. The exposition systematically unfolds with many examples, tables, illustrations, and exercises. A comprehensive index and extensive bibliography also make this book an ideal text for a senior undergraduate and graduate seminar on statistical distributions, or for a short half-term academic course in statistics, applied probability, and finance.
"Channels of distribution is one of the hottest areas in marketing and sales today. And no one understands the subject better than Ken Rolnicki! Managing Channels of Distribution supplies a much-needed source of knowledge and expertise that professionals can rely on. Based on case studies and real-life experience, the book explains the complexities of managing multiple channels -- distributors, dealers, manufacturer’s reps, VARs, private labels, brokers, wholesalers, retailers, and all the rest. In the process, Rolnicki explores both macro and micro business influences that affect channel effectiveness. Special attention is paid to the frustrating areas of channel power and conflict, the dangerous issue of legalities, and the most critical topic of all -- the channel design sequence."
This book answers a number of important questions about the distribution of wealth among people and the way that this distribution has changed over time. It provides a comprehensive analysis of the personal distribution of wealth from many dimensions: economic, statistical, ethical, political, sociological and legal. Using data from 21 countries, this book demonstrates how inequality in the distribution of wealth varies between different parts of the world and how it evolves, with particular emphasis on the claim that there has been a long-term and continued increase in inequality since the 1970s in most countries. It discusses alternative ways of measuring the degree of inequality, analyses...
This study outlines the theoretical and practical aspects which are relevant to the design of distribution networks, particularly the increased use of computers in their design and operation. The edition has been revised to include material on electromagnetic compatibility and legislation.
Distribution channels are the most complex element of the marketing mix to fully grasp and to profitably manage. In this Handbook the authors present cutting-edge research on channel management and design from analytical, conceptual, and empirical perspectives. The breadth of this Handbook makes it appropriate for use in a doctoral course on distribution channels, or as a knowledge-broadening resource for faculty and researchers who wish to understand types of channels research that are outside the scope of their own approach to distribution.
This book introduces the key stages of niche-based habitat suitability model building, evaluation and prediction required for understanding and predicting future patterns of species and biodiversity. Beginning with the main theory behind ecological niches and species distributions, the book proceeds through all major steps of model building, from conceptualization and model training to model evaluation and spatio-temporal predictions. Extensive examples using R support graduate students and researchers in quantifying ecological niches and predicting species distributions with their own data, and help to address key environmental and conservation problems. Reflecting this highly active field of research, the book incorporates the latest developments from informatics and statistics, as well as using data from remote sources such as satellite imagery. A website at www.unil.ch/hsdm contains the codes and supporting material required to run the examples and teach courses.
The Dirichlet distribution appears in many areas of application, which include modelling of compositional data, Bayesian analysis, statistical genetics, and nonparametric inference. This book provides a comprehensive review of the Dirichlet distribution and two extended versions, the Grouped Dirichlet Distribution (GDD) and the Nested Dirichlet Distribution (NDD), arising from likelihood and Bayesian analysis of incomplete categorical data and survey data with non-response. The theoretical properties and applications are also reviewed in detail for other related distributions, such as the inverted Dirichlet distribution, Dirichlet-multinomial distribution, the truncated Dirichlet distributio...