Nonrecursive Models

Business Models for Renewable Energy in the Built Environment provides insight to policy makers and market actors as to the ways that new and innovative business models (and/or policy measures) can st

Marsh, an accountant who has worked for various corporations and consultancies, explains techniques and processes used in business and financial models, with a focus on modeling a company and its inve

Marketing Analytics: Strategic Models and Metrics offers marketing students and professionals a practical guide to strategic decision models and marketing metrics. The tools described in the book will

Since its beginning in Chicago in the 1940s, Monogram's plastic model kits for cars, ships, aircraft, and spacecraft have captured the imaginations of hobbyists everywhere. The thousands of models Mon

Unique and wildly creative, this mathematical and geometric approach to?origami contains 40 models of cubes, towers,?and geometric shapes as well as puzzles and?models of?everyday items — all folded f

The family of statistical models known as Rasch models started with a simple model for responses to questions in educational tests presented together with a number of related models that the Danish ma

Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data are encountered in a variety of fields including biostatistics, p

In the application of statistics to ecological inference problems, hierarchical models combine explicit models of ecological system structure or dynamics with models of how ecological systems are obse

Although the available models, whether at the cellular, tissue, or animal level, do not exactly represent the biology of human brain tumors, animal models can offer significant insights into these tum

Volume 1 of the Encyclopedia of Financial Models covers both established and cutting-edge models and discusses their real-world applications. Edited by Frank Fabozzi, this volume includes contribut

Volume 3 of the Encyclopedia of Financial Models covers both established and cutting-edge models and discusses their real-world applications. Edited by Frank Fabozzi, this volume includes contribut

The complete, comprehensive resource for any photographer seeking the best poses, this book features one thousand images, specially selected to help photographers position models in an array of differ

Emphasizing a quantitative approach, Supply Chain Engineering: Models and Applications provides state-of-the-art mathematical models, concepts, and solution methods important in the design, control, o

The analysis of variance (ANOYA) models have become one of the most widely used tools of modern statistics for analyzing multifactor data. The ANOYA models provide versatile statistical tools for stud

Drawing on the authors’ extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data focuses on the formulation of latent Markov models and the pract

First published in 1967, this book explores the theme of geographical generalization, or model building. It is composed of five of the chapters from the original Models in Geography, published in 1967

For hundreds of years, models of magnetism have been pivotal in the understanding and advancement of science and technology, from the Earth's interpretation as a magnetic dipole to quantum mechanics,

This book sets out techniques for using general equilibrium numerical trade models and their application for both researchers and practitioners in governmental and international agencies. The chapters

"Preface Joint models for longitudinal and time-to-event data have become a valuable tool in the analysis of follow-up data. These models are applicable mainly in two settings: First, when focus is in

An introduction to models looks at the numerous ways they are used to help people understand and test the world around them.

Statistical models recently developed in several research communities (natural language processing, information retrieval, machine learning) for textual information access pertain to several applicati

Over the last decade, in vitro models have become more sophisticated and are at a stage where they can provide an effective alternative to in vivo experiments. Replacing Animal Models provides scienti

Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic p

Entrepreneurship is changing. Technology and social networks create a smaller world, but widen the opportunity horizon. Today's entrepreneurs build organisations and create value in entirely new ways and with entirely new tools. Rather than just exploit new ideas, innovative entrepreneurs design organisations to make sense of unlikely opportunities. The time has come to overhaul what we know about entrepreneurship and business models. Models of Opportunity links scholarly research on business models and organisational design to the reality of building entrepreneurial firms. It provides actionable advice based on a deeper understanding of how business models function and change. The six insights extend corporate strategy and entrepreneurship in a completely new direction. Case studies of innovative companies across industries demonstrate how visionary entrepreneurs achieve unexpected results. The insights, tools and cases, provide a fresh perspective on emerging trends in entrepreneursh

Entrepreneurship is changing. Technology and social networks create a smaller world, but widen the opportunity horizon. Today's entrepreneurs build organisations and create value in entirely new ways and with entirely new tools. Rather than just exploit new ideas, innovative entrepreneurs design organisations to make sense of unlikely opportunities. The time has come to overhaul what we know about entrepreneurship and business models. Models of Opportunity links scholarly research on business models and organisational design to the reality of building entrepreneurial firms. It provides actionable advice based on a deeper understanding of how business models function and change. The six insights extend corporate strategy and entrepreneurship in a completely new direction. Case studies of innovative companies across industries demonstrate how visionary entrepreneurs achieve unexpected results. The insights, tools and cases, provide a fresh perspective on emerging trends in entrepreneursh

Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments of graphical models, a number of differ

Using real-life examples from the banking and insurance industries, Quantitative Operational Risk Models details how internal data can be improved based on external information of various kinds. Using

Models of Science Dynamics aims to capture the structure and evolution of science, the emerging arena in which scholars, science and the communication of science become themselves the basic objects of

It’s a simple, best-selling combination that has worked for thousands of students — short, accessible essays and helpful, thorough writing instruction. Models for Writers continues to offer thought-pr

A book in the Systems Evaluation, Prediction, and Decision-Making Series, Systems Evaluation: Methods, Models, and Applications covers the evolutionary course of systems evaluation methods, clearly an

Multivariate General Linear Models is an integrated introduction to multivariate multiple regression analysis (MMR) and multivariate analysis of variance (MANOVA). Beginning with an overview of the un

This book covers competing risks and multistate models, sometimes summarized as event history analysis. These models generalize the analysis of time to a single event (survival analysis) to analysing

This volume contains articles focusing on the use of linear algebra as an indispensable tool in researching Markov chains and queueing models. Markov chains and queueing models play an increasingly im

"Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: Those who are familiar with the theory and applications of linear statistical models and wish

'What's going to happen next?' Time series data hold the answers, and Bayesian methods represent the cutting edge in learning what they have to say. This ambitious book is the first unified treatment of the emerging knowledge-base in Bayesian time series techniques. Exploiting the unifying framework of probabilistic graphical models, the book covers approximation schemes, both Monte Carlo and deterministic, and introduces switching, multi-object, non-parametric and agent-based models in a variety of application environments. It demonstrates that the basic framework supports the rapid creation of models tailored to specific applications and gives insight into the computational complexity of their implementation. The authors span traditional disciplines such as statistics and engineering and the more recently established areas of machine learning and pattern recognition. Readers with a basic understanding of applied probability, but no experience with time series analysis, are guided fro

The goal of this book is to search for a balance between simple and analyzable models and unsolvable models which are capable of addressing important questions on population biology. Part I focusses o

Bring your favorite Pokemon to life with the first ever Pokemon paper model book! For the first time ever, kids can build their very own paper models of their favorite Pokemon! This all-in-one kit com

Although scientific models and simulations differ in numerous ways, they are similar in so far as they are posing essentially philosophical problems about the nature of representation. This collection

This book presents a comprehensive documentation of the scientific outcome of 14 satellite events held at the 13th International Conference on Model-Driven Engineering, Languages and Systems, MODELS 2

Models is the first book ever written on seduction as an emotional process rather than a logical one, a process of connecting with women rather than impressing them. It's the most mature and honest gu