ISBN: 9781420089820
Publication Date: 11/21/2008
Number of Pages: 162
YouTube, Wikipedia, Second Life, and My Space are only the beginning. The present and the future is Quantum Matrix. Filled with detailed descriptions of cutting-edge technologies in relation to machine evolution and human emotions, this book includes concrete examples of how technology is changing industry. It includes organizational strategies to enhance physical and mental wellbeing by aiding human evolution. The book also provides insights on how advanced business strategy relates to quantum mechanics, a prerequisite for corporate survival. It covers open source platforms seen as gparticlesh capable of rewriting the business game rules of an entire industry, eg. Napsterfs impact on the music industry.
Machine Evolution
Evolution
The Global Sorting Machine
The Quantum Matrix
Machine Evolution
Mainstream Knowledge Systems
Quantum Mechanics
The Emotional Field
Humans are a Quantum Phenomena
Separate Realities
Mainstream Knowledge Systems
Quantum Mechanics
The Emotional Field
Humans are a Quantum Phenomena
Wavefronts
Inevitability
The Transspatial Organization
Open Source Toys & Games (OST&G)
Wavefronts
Key Terms and Concepts
Sources
Index
Robert Croker taught management at the Bad Homburger Akademie, City University
and the Management and Business Akademie in Germany between 1990 and 2005.
He focused on tracking technological innovation beyond the Web and how
it interrelates to the Emotional Field of the human being. Gollowing 2005
he studied quantum mechanics as a method to perceive evolution unraveling
change across diverse fields including human organizations, technology,
psychology and biosocial environments. This is his maiden attempt.
Series: Texts in Statistical Science
ISBN: 9781420075755
Publication Date: 4/21/2009
Number of Pages: 320
Provides an overview of the methods and applications of logistic regression models
Covers the key topics of derivation and interpretation, goodness-of-fit, overdispersion, and various extensions
Includes detailed worked examples using real data from the medical and social sciences
Implements methods and examples using Stata and R
Based on a successful course on the subject taught by the author, this text provides an overview of logistic regression models with a particular emphasis on their practical application. It covers the basic derivation of logistic models and their interpretation, various goodness-of-fit tests, overdispersion and how it can be handled, how models can be ill-fitted, and nearly all extensions that have been made to the standard logistic model, such as proportional odds models and exact logistic regression. Full of examples of real data taken from the medical and social sciences, the text implements the examples using Stata and R.
Introduction. Concepts Related to the Logistic Model. Methods of Estimation. Derivation of the Bernoulli Model. An Example. Analysis of Fit. Interpreting Logistic Coefficients and Odds Ratios. Binomial Logistic Regression. The Problem of Overdispersion. Modeling Overdispersed Data. Ordered Logistic Regression. Multinomial Logistic Regression. Alternative Logistic Models. Logistic Panel Models. Exact logistic Regression. Logistic Regression Software. Appendices. References. Indices.
ISBN: 9781584889212
Publication Date: 8/25/2009
Number of Pages: 350
Presents a model-based method of analyzing, predicting, and simulating time series with various characteristics
Uses real data sets from economics, finance, seismology, meteorology, and ship engineering
Extends the state space approach to more general nonlinear or non-Gaussian state space models
Includes methods and models developed by the author and his colleagues at the Institute of Statistical Mathematics
In time series analysis, the state space model provides a unified method of flexible modeling for analyzing, modeling, state estimation, and parameter estimation. This book presents a model-based method of analyzing, predicting, and simulating time series with various characteristics. Real data sets in economics, finance, seismology, meteorology, and ship engineering are used as examples of the analysis. The author emphasizes the unified use of the state space model, smoothing, and the information criterion AIC for model evaluation.
Time Series Data and Its Pre-Analysis. Autocovariance Function. Spectrum and Periodogram. Statistical Modeling and AIC. Least Squares Method. Analysis of Time Series by ARMA Modeling. Estimation of ARMA Model. Estimation of Trend. Seasonal Adjustment Model. Time-Varying Coefficient AR Model. Non-Gaussian State Space Model. Sequential Monte Carlo Filter. Simulation of Time Series.
ISBN: 9781420099829
Publication Date: 5/22/2009
Number of Pages:
Focuses on applications from a variety of fields, including the biological, computer, and social sciences
Adds several major new topics, such as binary relations, digraphs, lattices, and switching functions
Includes updated and improved examples, exercises, and references to the literature
Emphasizes problem solving through a range of exercises that either test routine ideas, introduce new concepts and applications, or challenge readers to use the combinatorial techniques developed
This book focuses on the applications that motivate the development and use of combinatorics. The application examples covered include defective products, disease screening, genome mapping, satellite communication, web data, search engines, telecommunications traffic, smallpox vaccinations, sound systems, oil drilling, dynamic labor markets, and distributed computing. This edition includes new material on list colorings, the inversion distance between permutations and mutations in evolutionary biology, graph coloring, relations, DNA sequence alignment, cryptography, automorphisms of graphs, orthogonal arrays, secret sharing, the RSA cryptosystem, consensus
What Is Combinatorics? THE BASIC TOOLS OF COMBINATORICS: Basic Counting Rules. Introduction to Graph Theory. Relations. THE COUNTING PROBLEM: Generating Functions and Their Applications. Recurrence Relations. The Principle of Inclusion and Exclusion. The Polya Theory of Counting. THE EXISTENCE PROBLEM: Combinatorial Designs. Coding Theory. Existence Problems in Graph Theory. COMBINATORIAL OPTIMIZATION: Matching and Covering. Optimization Problems for Graphs and Networks.