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.
The main purpose o.
Robert M. Buntin
Robert Koppel
The next step is the story of a man who reinvents himself through a cast of characters.
Robert Keeshan
Robert J. Mason
Hughes, Michael
Robert Girardi
Robert Milne
Growing your own organic vegetables will give you fresher, tastier and more nutritious produce, while doing away with food miles, fossil fuel consumption and unnecessary packaging.
Robert Lafore
Robert Lafore
Langston Hughes
The poetic wisdom of langston hughes merges with visionary illustrations from bryan collier in this inspirational picture book that carries the promise of equality.
Robert Harvey
Robert Lafore
Robert Goddard
Robert Woodhouse
John Hughes
Robert Charles Wilson
Robert A. Wiedemer
Hughes
Robert Gauvin
This graduate-level textbook focuses on the validation and applicability of clinically relevant biomedical technologies, the market, regulatory aspects, the economic evaluation and the cost-effective pricing of medical devices.
Robert Rotenberg
Robert Frost
Robert Foster
This is a comprehensive, practical, and hands-on guide to sharepoint 2010 development.
Robert Holden
Robert Rotenberg
Robert Steiner
In these three novellas, spouses and lovers are at the edge of themselves, saying the unsayable, doing the undoable, challenging us to keep our eyes open to disintegration and pain.
Robert Gauvin
This graduate-level textbook focuses on the validation and applicability of clinically relevant biomedical technologies, the market, regulatory aspects, the economic evaluation and the cost-effective pricing of medical devices.
Robert Yates
Manning, Robert
Robert Laura
Robert Earl Keen
Robert R. Moeller
A much-needed resource packed with guidelines, standards, and expert insightauditing in an internet of things environment is a guidebook for auditors and controllers in the thick of the technological revolution.
Robert McElroy
Robert Barry
Brooke Hughes
Robert R. Moeller
A much-needed resource packed with guidelines, standards, and expert insightauditing in an internet of things environment is a guidebook for auditors and controllers in the thick of the technological revolution.
Robert Stava
Robert Simon
Ross, Robert L.
Robert A. Segal
Robert Lopez
Robert McLean
Robert Vago
Robert D. Banks
Robert M. Figueroa
Robert N. Staley
Bradley, Robert L., Jr.
Robert Gold
Robert Strong
Robert D. Hughes
Robert Hanna
Robert Ash
After the end of the cold war, economic security has become the most important issue to guarantee a peaceful world, and especially the asian crisis since the middle of 1997 is proof of this.
Nadine Robert
Robert P. George
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.
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
Verónica Juárez Ramos
Decision making or making judgments is an essential function in the ordinary life of any individual.
Richard McElreath
Statistical rethinking: a bayesian course with examples in r and stan builds readers' knowledge of and confidence in statistical modeling.
Paula Short
This book describes the various strategies and procedures for collecting, analyzing, and organizing information to improve education..
Cait Flanders
In her late twenties, cait flanders found herself stuck in the consumerism cycle that grips so many of us: earn more, buy more, want more, rinse, repeat.
Ariel Rosenfeld
Eric J. Bolland
How and to what extent do decisions affect business performance?