Peter Daniels
This new text extends the traditional reach of ecological economics into the fields of management and economic policy.
Peter Hamilton
Peter Daniels
This new text extends the traditional reach of ecological economics into the fields of management and economic policy.
Peter Jarvis
Hans-Peter Blume
Peter Joyce
Peter Johnson
Peter Mallouk
Peter Rex
Harold godwinson was king of england for less than a year and failed to defend england from william the conqueror s invading norman army in 1066, an army that wreaked havoc across the country and changed the political history of england forever.
Peter Mercurio
Andy Peter Grieve
Peter Hubwieser
Der autor entwickelt einen zeitgem en, informationszentrierten ansatz f r den informatikunterricht und legt ein schl ssiges gesamtkonzept vor.
Peter Hobson
Burns, Peter
Peter Sester
Das lehrbuch erl�utert die europarechtlichen grundlagen f�r unternehmerische transaktionen erstmals speziell aus der europ�ischen perspektive anhand ausgew�hlter urteile des europ�ischen gerichtshofs.
Peter Hennessy
Peter Hobson
Peter Bell
In the style of martin fowler's classics nosql distilled and uml distilled, git distilled presents all you need to know to be fully productive with git.
Peter Tooley
Peter Biskind
Peter van der Linden
Peter, "Spring" May
Peter Sester
Das lehrbuch erl�utert die europarechtlichen grundlagen f�r unternehmerische transaktionen erstmals speziell aus der europ�ischen perspektive anhand ausgew�hlter urteile des europ�ischen gerichtshofs.
Peter Terrin
Burns, Peter
Peter Waller
Jackson, Peter
Intelligence in the modern world provides the first thorough survey of the history of the emergence of intelligence agencies.
Peter de Loriol
The east end has been the subject of gossip, publicity, and controversy throughout the ages.
Jackson, Peter
Intelligence in the modern world provides the first thorough survey of the history of the emergence of intelligence agencies.
Peter Alldridge
Peter Lambert
Peter Alldridge
Peter Thomson
Peter Huck
Peter Goodrich
Peter Jarvis
Peter Alldridge
Peter Philipson
Focusing on modeling survival data, longitudinal data, and error using the r programming language, this book demonstrates the analysis of data at repeated time points as well as on the occurrence of a related event.
Peter Huck
Helga Peter
Peter Wick
Peter Ackroyd
Peter Conlin
Peter C. Pugsley
Peter Blauner
Peter Thomson
Peter Burnell
Peter Kincaid
Peter Eckart
Peter Y. Chen
Anderson, Peter J.
Peter Handke
Peter R. Taylor
Peter Kreeft
Peter Reinsch
This title was first published in 2001: this text concentrates on the concept of immigrant integration and on the processes to which it refers.
Peter Swanson
G Leowenstein
Daniel Kahneman
Daniel Kahneman
Frederic Schick
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
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.
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.
Karlos J. Kachiashvili
Scott A. Sisson
As the world becomes increasingly complex, so do the statistical models required to analyse the challenging problems ahead.
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.
Andy Pole
Practical in its approach, applied bayesian forecasting and time series analysis provides the theories, methods, and tools necessary for forecasting and the analysis of time series.
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
Gwo-Hshiung Tzeng
When people or computers need to make a decision, typically multiple conflicting criteria need to be evaluated; for example, when we buy a car, we need to consider safety, cost and comfort.
Maxine Attong
Mika Aaltonen
Advancing new sense-making tools for organizational strategy, this book demonstrates how to deal with asymmetric threats and opportunities.
Hanns Ludwig Harney
Raghu Nandan Sengupta
Anthony J. Spurgin
This book discusses management decision-making under accident conditions as a vehicle to confirm the importance of clear decision-making guided by a systems approach on how an organization functions related to the role of managers, operators, and the oper.
Ruth Taplin
Demonstrates that western individualism and japanese groupism are not necessarily incompatible or mutually exclusive..
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.
Sebastian Reich
In this book the authors describe the principles and methods behind probabilistic forecasting and bayesian data assimilation.
Jeffrey W. Herrmann
Iie/joint publishers book of the year award 2016!
Tatiana V. Guy
Avinash K. Dixit
David A. Hensher
Cameron B. Green
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.