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Utility Maximization, Choice and Preference
The utility maximization paradigm forms the basis of many economic, psychological, cognitive and behavioral models. Since it was first devised in the eighteenth century, numerous examples have revealed the deficiencies of the concept. This book makes a contribution to overcome those deficiencies by taking into account insensitivity of measurement threshold and context of choice. It covers classic theory as a special, context-free case and gives a systematic overview of new models of utility maximization within a context-dependent threshold as well as related preference and choice models. The second edition has been updated to include the most recent developments and a new chapter on classic and new results for infinite sets.
The theory of the marketing firm : Responding to the imperatives of consumer-orientation
The marketing firm is that business organisation which responds to the imperatives of consumer-orientation. Its style of management is marked by its adherence to the criteria of goal separation, participation in marketing transactions, entrepreneurial sovereignty and reciprocal entrepreneurial management, all of which are explored in this pioneering book. It assumes the proposition, uncontroversial enough to marketing academics and students, that contemporary firms can survive and prosper – achieve their financial goal, be it the maximization of profit or sales or growth – only if they respond appropriately to those imperatives: specifically, the forces that promote consumer discretion and consumer sophistication.
Revenue Management and Survival Analysis in the Automobile Industry
André Jerenz develops a price-based revenue management framework to support retailers in establishing better and more profitable pricing strategies, including assigning an initial asking price and the adjustment of price over time. For the profit maximization problem of a used car retailer, the author derives different algorithms for determining optimal strategies by applying stochastic control theory. Within the scope of the demand forecasting component, he proposes the adoption of survival analysis for estimating individual price response functions, modeled by parametric and semi-parametric survival functions. Thus, the effects of variables such as the asking price are taken into account. The evaluation of data from a case study in the German used car market reveals a significant potential for an increase in profitability and confirms the proposed price-based revenue management concept.
Reforms, Organizational Change and Performance in Higher Education : A Comparative Account from the Nordic Countries
This book investigates the effects of changes in leadership and managerial structures of Nordic universities resulting from reforms in the last decade. It builds on a rich, comparative dataset across a multiplicity of system-wide (macro) and organisational (meso and micro) dimensions, namely: reform or policy initiatives; drivers, aims, instruments and actors; structural changes within universities; strategic and performance management ; the rise of accountability regimes; incentive and evaluative systems; and perceived changes/effects by the key actors involved, at various levels. The volume provides critical insights to the larger phenomenon of change and adaptation within the public sector. Its findings and implications are of relevance to social science researchers, policy makers, managers/administrators, and external stakeholders.
Pseudosolution of Linear Functional Equations : Parameters Estimation of Linear Functional Relationships
This book presents the author’s new method of two-stage maximization of likelihood function, which helps to solve a series of non-solving before the well-posed and ill-posed problems of pseudosolution computing systems of linear algebraic equations (or, in statistical terminology, parameters’ estimators of functional relationships) and linear integral equations in the presence of deterministic and random errors in the initial data. This book, for the first time, presents a solution of the problem of reciprocal influence of passive errors of regressors and of active errors of predictors by computing point estimators of functional relationships.
Probability in electrical engineering and computer science : An application-driven course
This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering and computer science (EECS). The author presents information processing and communication systems that use algorithms based on probabilistic models and techniques, including web searches, digital links, speech recognition, GPS, route planning, recommendation systems, classification, and estimation. He then explains how these applications work and, along the way, provides the readers with the understanding of the key concepts and methods of applied probability. Python labs enable the readers to experiment and consolidate their understanding. The book includes homework, solutions, and Jupyter notebooks. This edition includes new topics such as Boosting, Multi-armed bandits, statistical tests, social networks, queuing networks, and neural networks. The companion website now has many examples of Python demos and also Python labs used in Berkeley.
Principles of Signal Detection and Parameter Estimation
This new textbook is for contemporary signal detection and parameter estimation courses offered at the advanced undergraduate and graduate levels. It presents a unified treatment of detection problems arising in radar/sonar signal processing and modern digital communication systems. The material is comprehensive in scope and addresses signal processing and communication applications with an emphasis on fundamental principles. In addition to standard topics normally covered in such a course, the author incorporates recent advances, such as the asymptotic performance of detectors, sequential detection, generalized likelihood ratio tests (GLRTs), robust detection, the detection of Gaussian signals in noise, the expectation maximization algorithm, and the detection of Markov chain signals. Numerous examples and detailed derivations along with homework problems following each chapter are included.
Distributed computing in sensor systems Vol. 4026 ; 2nd IEEE International Conference, DCOSS 2006, San Francisco, CA, USA, June 18-20, 2006, Proceedings
The book constitutes the refereed proceedings of the Second International Conference on Distributed Computing in Sensor Systems, DCOSS 2006, held in San Francisco, California, USA in June 2006. The papers focus on distributed computing issues in large-scale networked sensor systems, including systematic design techniques and tools; they cover topics such as distributed algorithms and applications, programming support and middleware, data aggregation and dissemination, security, information fusion, lifetime maximization, and localization.
CSR and Codes of Business Ethics in the USA, Austria (EU) and China and their Enforcement in International Supply Chain Arbitrations
Analyzes the implementation of CSR reporting and codes of business conduct and ethics in the legal systems of the USA, Austria and China and their enforcement in international supply chain arbitrations. demonstrates that long-term profit maximization is increasingly intertwined with corporate ethics and CSR policies. In order to prevent window-dressing and greenwashing, certain control mechanisms and legal standards are required along the entire supply chain.
Corporate Innovation Strategies : Corporate Social Responsibility and Shared Value Creation
Corporate social responsibility (CSR) is simply the maximization of a company's value over time, undertaken because, in the long run, social and environmental problems ultimately become financial problems. The justification for CSR is therefore associated with representing the nature and role of the company, as well as its purpose. Companies therefore regard CSR as a strategic investment that is part of a proactive, resilient, inclusive approach, based on the creation of shared value. This approach is capable of reducing negative societal impacts of their activities, or inducing positive impacts if they sustain a hybrid culture, all the while improving their competitive advantage. This book presents a theoretical development that analyzes the challenges of CSR strategies based on the creation of shared value.
Classification and Modeling with Linguistic Information Granules : Advanced Approaches to Linguistic Data Mining
Many approaches have already been proposed for classification and modeling in the literature. These approaches are usually based on mathematical mod els. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe matical models even when they are simple and linear. This is because human information processing is based mainly on linguistic knowledge while com puter systems are designed to handle symbolic and numerical information. A large part of our daily communication is based on words. We learn from various media such as books, newspapers, magazines, TV, and the Inter net through words. We also communicate with others through words. While words play a central role in human information processing, linguistic models are not often used in the fields of classification and modeling. If there is no goal other than the maximization of accuracy in classification and modeling, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretability.
Advances in Ranking and Selection, Multiple Comparisons, and Reliability: Methodology and Applications
S. Panchapakesan has made significant contributions to ranking and selection and has published in many other areas of statistics, including order statistics, reliability theory, stochastic inequalities, and inference. Written in his honor, the twenty invited articles in this volume reflect recent advances in these fields and form a tribute to Panchapakesan’s influence and impact on these areas. Thematically organized, the chapters cover a broad range of topics from: Inference / Ranking and Selection / Multiple Comparisons and Tests / Agreement Assessment / Reliability / Biostatistics
