Risk and Asset Allocation
Discusses in the practical and theoretical aspects of one-period asset allocation, i.e. market Modeling, invariants estimation, portfolia evaluation, and portfolio optimization in the prexence of estimation risk The book is software based, many of the exercises simulate in Matlab the solution to practical problems and can be downloaded from the book's web-site
Simply put, quantum calculus is ordinary calculus without taking limits. This undergraduate text develops two types of quantum calculi, the q-calculus and the h-calculus. As this book develops quantum calculus along the lines of traditional calculus, the reader discovers, with a remarkable inevitability, many important notions and results of classical mathematics. This book is written at the level of a first course in calculus and linear algebra and is aimed at undergraduate and beginning graduate students in mathematics, computer science, and physics. It is based on lectures and seminars given by Professor Kac over the last few years at MIT. Victor Kac is Professor of Mathematics at MIT. He is an author of 4 books and over a hundred research papers. He was awarded the Wigner Medal for his work on Kac-Moody algebras that has numerous applications to mathematics and theoretical physics. He is a honorary member of the Moscow Mathematical Society. Pokman Cheung graduated from MIT in 2001 after three years of undergraduate studies. He is presently a graduate student at Stanford University.
Vortices in the Magnetic Ginzburg Landau Model
This book presents the mathematical study of vortices of the two-dimensional Ginzburg-Landau model, an important phenomenological model used to describe superconductivity. The vortices, identified as quantized amounts of vorticity of the superconducting current localized near points, are the objects of many observational and experimental studies, both past and present. The Ginzburg-Landau functionals considered include both the model cases with and without a magnetic field. The book acts a guide to the various branches of Ginzburg-Landau studies, provides context for the study of vortices, and presents a list of open problems in the field.
An introduction to geostatistics stressing the multivariate aspects for scientists, engineers and statisticians. The book presents a brief review of statistical concepts, a detailed introduction to linear geostatistics, and an account of three basic methods of multivariate analysis. Applications from very different areas of science, as well as exercises with solutions, are provided to help convey the general ideas. In this second edition, the chapters regarding normal kriging and cokriging have been restructured and the section on non-stationary geostatistics has been entirely rewritten.
The Elements of Statistical Learning
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
Evaluating Training Programs
Leaders want to see changes in behavior as a result of what people have learned and may expect these new behaviors to deliver results for the business. With the third edition of this book, readers have an opportunity to update their understanding of this classic evaluation framework and to learn from the case studies about how to effectively apply the framework to a variety of learning programs. Readers are presented with the tools and the know-how to tell their own story of value creation.---Foreword by Merrill C. Anderson, Ph.D, Chief Executive Officer, MetrixGlobal, LLC
The Mirage of a Space between Nature and Nurture
In this powerful critique, the esteemed historian and philosopher of science Evelyn Fox Keller addresses the nature-nurture debates, including the persistent disputes regarding the roles played by genes and the environment in determining individual traits and behavior. Keller is interested in both how an oppositional “versus” came to be inserted between nature and nurture, and how the distinction on which that opposition depends, the idea that nature and nurture are separable, came to be taken for granted. How, she asks, did the illusion of a space between nature and nurture become entrenched in our thinking, and why is it so tenacious? Keller reveals that the assumption that the influences of nature and nurture can be separated is neither timeless nor universal, but rather a notion that emerged in Anglo-American culture in the late nineteenth century. She shows that the seemingly clear-cut nature-nurture debate is riddled with incoherence. It encompasses many disparate questions knitted together into an indissoluble tangle, and it is marked by a chronic ambiguity in language. There is little consensus about the meanings of terms such as nature, nurture, gene, and environment. Keller suggests that contemporary genetics can provide a more appropriate, precise, and useful vocabulary, one that might help put an end to the confusion surrounding the nature-nurture controversy.
The Trouble with Computers
Beginning with an explanation of why considerable outlays for computing since 1973 have not resulted in comparable payoffs, the author proposes that emerging techniques for user-centred development can turn the situation around - through task analysis, ite
Dictionary of Received Ideas
Gustave Flaubert A été écrit sous une forme ou une autre pendant la plus grande partie de sa vie. Vous pouvez trouver autant d'inspiration de Dictionary of Received Ideas Aussi informatif et amusant. Cliquez sur le bouton TÉLÉCHARGER ou Lire en ligne pour obtenir gratuitement le livre de titre $ gratuitement.
Handbook of noise control
Cyril M. Harris A été écrit sous une forme ou une autre pendant la plus grande partie de sa vie. Vous pouvez trouver autant d'inspiration de Handbook of noise control Aussi informatif et amusant. Cliquez sur le bouton TÉLÉCHARGER ou Lire en ligne pour obtenir gratuitement le livre de titre $ gratuitement.