Daniel Kahneman
Frederic Schick
Khaled Tamzini
In recent years, a number of scholars trained in the area of economics have begun to pay attention to a fascinating and increasingly important question: does the interrelationship between religion and enterprise shape entrepreneurial decision making?
Hannelore Lisei
Mitchell
This text provides a unique collection of case studies across a wide range of organizations (higher education, k-12 education, military, state and local government administration, non-profit institutions, and agency management, etc.
Steven Johnson
A groundbreaking book about making once-in-a-lifetime decisions, from the bestselling author of how we got to now and where good ideas come from.
Adair, John
In decision making and problem solving , leadership guru john adair provides the techniques and insights you need to find solutions, spark creativity and confidently make the right decisions.
Mevin B. Hooten
Bringing bayesian models to life empowers the reader to extend, enhance, and implement statistical models for ecological and environmental data analysis.
Michael D. Mumford
Marwan Mikdadi
Yan Liu
Demonstrates how to solve reliability problems using practical applications of bayesian modelsthis self-contained reference provides fundamental knowledge of bayesian reliability and utilizes numerous examples to show how bayesian model.
Steven Johnson
A groundbreaking book about making once-in-a-lifetime decisions, from the bestselling author of how we got to now and where good ideas come from.
Lyle D. Broemeling
Analyze repeated measures studies using bayesian techniquesgoing beyond standard non-bayesian books, bayesian methods for repeated measures presents the main ideas for the analysis of repeated measures and.
Albert W. Dzur
In our current era of deep distrust in our politics and political institutions, there is also a pervasive sense that social problems are so overwhelmingly complex that it is virtually impossible to solve them.
Ali E. Abbas
Many of the complex problems faced by decision makers involve uncertainty as well as multiple conflicting objectives.
Michael J. Barakey
Mika Aaltonen
Advancing new sense-making tools for organizational strategy, this book demonstrates how to deal with asymmetric threats and opportunities.
Shay Cohen
Natural language processing (nlp) went through a profound transformation in the mid-1980s when it shifted to make heavy use of corpora and data-driven techniques to analyze language.
Andy Blunden
Jason Papathanasiou
This book presents real-world decision support systems, i.
Edmund K. Burke
Carl S. Spetzler
C. Whan Park
Brand admiration provides an integrated perspective on how to make strategic and tactical branding decisions--.
Philippe Weber
The application of bayesian networks (bn) or dynamic bayesian networks (dbn) in dependability and risk analysis is a recent development.
Charles Duhigg
A partir de ocho conceptos clave que van desde la motivación y el establecimiento de objetivos hasta la toma de decisiones, charles duhigg nos enseña en más agudo, más rápido y mejor por qué algunas personas y empresas consigue.
Daniel J. Mezick
Openspace agility™ is a repeatable technique for getting a rapid, genuine and lasting agile adoption.
Paul Gustafson
Sebastian Reich
In this book the authors describe the principles and methods behind probabilistic forecasting and bayesian data assimilation.
Rob Thomas
Exploit the power and potential of big data to revolutionize business outcomes big data revolution is a guide to improving performance, making better decisions, and transforming business through the effective use of big data.
Yucheng Dong
Ibo van de Poel
When many people are involved in an activity, it is often difficult, if not impossible, to pinpoint who is morally responsible for what, a phenomenon known as the 'problem of many hands.
Satyanshu K. Upadhyay
Collecting bayesian material scattered throughout the literature, current trends in bayesian methodology with applications examines the latest methodological and applied aspects of bayesian statistics.
Cox, Louis Anthony, Jr.
Discover recent powerful advances in the theory, methods, and applications of decision and risk analysisfocusing on modern advances and innovations in the field of decision analysis (da), breakthroughs in decision science and risk an.
Hassan Qudrat-Ullah
Computer simulation-based education and training is a multi-billion dollar industry.
Magda Osman
Kazuhisa Takemura
Hideo Aizaki
Stated preference methods using r explains how to use stated preference (sp) methods, which are a family of survey methods, to measure people's preferences based on decision making in hypothetical choice situations.
Peter Rossi
This book reviews and develops bayesian non-parametric and semi-parametric methods for applications in microeconometrics and quantitative marketing.
Sarah Lane
Four friends; lena, who is engaged to a basketball superstar, denise, who is hoping that she will be the first in her family to graduate college, freedom, who lives up to her name and carmen, who needs to work on her self-esteem--lean on each other during.
Jochen Gerber
Alessandro Innocenti
In the last two decades there has been a flourishing research carried out jointly by economists, psychologists and neuroscientists.
Nick Tasler
Lars Mönch
Perhaps surprisingly, this is the first comprehensive treatment of production planning and control problems in semiconductor wafer fabrication.
Harvé Raynaud
The publication of the first book by kenneth arrow and herve raynaud, in 1986, led to an important wave of research in the field of axiomatic approach applied to managerial logic.
Chip Heath
Chip and dan heath, the bestselling authors of switch and made to stick, tackle one of the most critical topics in our work and personal lives: how to make better decisions.
Roger Slater
David F. Groebner
Peijun Guo
This book details new approaches and results on fundamentals and applications related to human-centered decision making approaches to business, economic and social systems.
Robert A. Davis
Use demand driven optimized inventory and replenishment to overcome your supply chain weaknesses, and deliver business-maximizing resultsreviewing the fundamentals of inventory optimization so that you can attain a demand-driven supply, "demand-driven inv.
Paul W. Glimcher
Hyeong Soo Chang
Markov decision process (mdp) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences.