Fred Marcellino
While robbing egypt's mummies, sphinxes, and palm trees, napoleon can't resist bringing home a souvenir crocodile as well.
Jay Fleck
A sweet and funny picture book that looks at the blossoming friendship between an elephant and a tank and encourages kids to make friends, not war.
Fred Van Lente
Jay Kristoff
Jay W. Richards
Fred Lawson
Jay Ludowyke
In the early hours of 15 april 1912, the cunard steamship carpathia receives a distress call from the new white star liner titanic.
Jay Miralles
Jay Newman
Jay Laffoon
Jay Laffoon
Brian Jay Corrigan
Xiran Jay Zhao
Jay Glazer
Fred Lee Hord
Jay R. Mandle
Jay Dragon
Jay Leslie
Brian Jay Corrigan
Jay Leslie
Brian Jay Corrigan
Brian Jay Corrigan
Fred V. Hartemann
Jay Dragon
Jay Baruchel
Jay Kristoff
Jay Dragon
Don Lee Fred Nilsen
The memoir of a woman ("jane barrie" was a pseudonym for mildred savage) who joins her husband in his lumberyard when she realizes that the business is deeply in debt and foundering financially.
Jay Carmichael
Jay Brinegar
Jay Newman
Fred S. Steingold
Jay Greenstein
Jay Leslie
Fred Sanders
Jay Wright
Jay Chung
Fred Haise
Fred Sanders
Jay Bonansinga
Jay McLean
Brian Jay Nelson
Fred A. Scheeren
Jay Glazer
Peter Jay
Fred Herzog
Jay Glazer
Fred Fred Peterson
Fred Pearce
Vladik Kreinovich
This book is about how to make decisions - mathematically based.
Richard H. Thaler
G Leowenstein
Daniel Kahneman
Karl Stromberg
Farrow
Valen E. Johnson
Daniel Kahneman
Daniel Kahneman
Frederic Schick
Louise Amoore
In cloud ethics louise amoore examines how machine learning algorithms are transforming the ethics and politics of contemporary society.
Abhishek Behl
Multi-criteria decision making (mcdm) has been extensively used in diverse disciplines, with a variety of mcdm techniques used to solve complex problems.
Konrad Kulakowski
"one of the best-known methods of multi-criteria decision-making is the analytic hierarchy process (ahp).
Kenneth D. Lawrence
Mahendra Mallick
Ramanathan Sugumaran
Although interest in spatial decision support systems (sdss) continues to grow rapidly in a wide range of disciplines, students, planners, managers, and the research community have lacked a book that covers the fundamentals of sdss along with the advanced.
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
Elena G. Popkova
Prasenjit Chatterjee
Sustainability issues have gained more importance in contemporary globalization, pushing decision makers to find a systematic mathematical approach to conduct analyses of this real-world problem.
Kuan-Ching Li
smart data: state-of-the-art perspectives in computing and applications explores smart data computing techniques to provide intelligent decision making and prediction services support for business, science, and engineering.
R. Alexander Bentley
Lyle D. Broemeling
In many branches of science relevant observations are taken sequentially over time.
Brian J. Reich
Bayesian statistical methods provides data scientists with the foundational and computational tools needed to carry out a bayesian analysis.
Joshua Chan
Bayesian econometric methods examines principles of bayesian inference by posing a series of theoretical and applied questions and providing detailed solutions to those questions.
M. Antónia Amaral Turkman
Meaningful use of advanced bayesian methods requires a good understanding of the fundamentals.
Michael D. Mumford
Keith Dowding
Featuring a substantial new introduction and two new chapters, this new edition makes one of the most significant works on power available in paperback and online for the first time.
Victor Tadros
The criminalization series arose from an interdisciplinary investigation into criminalization, focussing on the principles that might guide decisions about what kinds of conduct should be criminalized, and the forms that criminalization should ta.
Glenn Shafer
Game-theoretic probability and finance come of ageglenn shafer and vladimir vovk's probability and finance, published in 2001, showed that perfect-information games can be used to define mathematical probability.
Lirong Xia
The ubiquitous challenge of learning and decision-making from rank data arises in situations where intelligent systems collect preference and behavior data from humans, learn from the data, and then use the data to help humans make efficient, effective, a.
Ireneusz Czarnowski
Anand S. Dighe
Brian J. Reich
Bayesian statistical methods provides data scientists with the foundational and computational tools needed to carry out a bayesian analysis.
Lyle D. Broemeling
In many branches of science relevant observations are taken sequentially over time.
Peter D. Congdon
Revised edition of: applied bayesian hierarchical methods.
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.
Roger Seip
You'll get there faster if you just slow downmaster your mind offers a bit of perspective and a lot of insight for anyone seeking long-term success.
Norman Fenton
Since the first edition of this book published, bayesian networks have become even more important for applications in a vast array of fields.
Martin F. G. Schaffernicht
Growth dynamics in new markets is an engaging case study on introducing a product into a new market in the presence of a rival.
Hans de Bruijn
Getting what you want - even if you are the boss - isn't always easy.
Armin W. Schulz
An argument that representational decision making is more cognitively efficient, allowing an organism to adjust more easily to changes in the environment.
Richard McElreath
Statistical rethinking: a bayesian course with examples in r and stan builds readers' knowledge of and confidence in statistical modeling.
Robert C. Hughes
human capital systems, analytics, and data mining provides human capital professionals, researchers, and students with a comprehensive and portable guide to human capital systems, analytics and data mining.
Armin W. Schulz
An argument that representational decision making is more cognitively efficient, allowing an organism to adjust more easily to changes in the environment.
Rosario O. Cardenas
Sumio Watanabe
Mathematical theory of bayesian statistics introduces the mathematical foundation of bayesian inference which is well-known to be more accurate in many real-world problems than the maximum likelihood method.
J. S. Maritz
The second edition of empirical bayes methods details are provided of the derivation and the performance of empirical bayes rules for a variety of special models.
Jim Q. Smith
Written by some major contributors to the development of this class of graphical models, chain event graphs introduces a viable and straightforward new tool for statistical inference, model selection and learning techniques.
Bryant, John
Bayesian demographic estimation and forecasting presents three statistical frameworks for modern demographic estimation and forecasting.
Jennifer J. Halpern