Discusses personality theories, psychological tests, self-esteem, anxiety, disorders, and strategies for handling interpersonal relationships.

Complete Idiot's Guide to Personality Profiles

Miller, Alan

Shelly, Susan

Self-Help

Alpha

Order By Accident: The Origins And Consequences Of Group Conformity In Contemporary Japan

Kanazawa, Satoshi

Reference

Routledge

Originally published in 1990, the first edition of Subset Selection in Regression filled a significant gap in the literature, and its critical and popular success has continued for more than a decade. Thoroughly revised to reflect progress in theory, methods, and computing power, the second edition promises to continue that tradition. The author has thoroughly updated each chapter, incorporated new material on recent developments, and included more examples and references. New in the Second Edition: <ul> <li>A separate chapter on Bayesian methods </li> <li>Complete revision of the chapter on estimation </li> <li>A major example from the field of near infrared spectroscopy </li> <li>More emphasis on cross-validation </li> <li>Greater focus on bootstrapping </li> <li>Stochastic algorithms for finding good subsets from large numbers of predictors when an exhaustive search is not feasible </li> <li>Software available on the Internet for implementing many of the algorithms presented </li> <li>More examples Subset Selection in Regression, Second Edition remains dedicated to the techniques for fitting and choosing models that are linear in their parameters and to understanding and correcting the bias introduced by selecting a model that fits only slightly better than others. The presentation is clear, concise, and belongs on the shelf of anyone researching, using, or teaching subset selecting techniques.</li> </ul>

Subset Selection in Regression (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Science & Math

Mathematics

Chapman and Hall/CRC

Human influences create both environmental problems and barriers to effective policy aimed at addressing those problems. In effect, environmental managers manage people as much as they manage the environment. Therefore, they must gain an understanding of the psychological and sociopolitical dimensions of environmental problems that they are attempting to resolve. In Environmental Problem Solving, Alan Miller reappraises conventional analyses of environmental problems using lessons from the psychosocial disciplines. He combines the disciplines of ecology, political sociology and psychology to produce a more adaptive approach to problem-solving that is specifically geared toward the environmetal field. Numerous case studies demonstrate the practical application of theory in a way that is useful to technical and scientific professionals as well as to policy makers and planners. Alan Miller is Professor of Psychology at the University of New Brunswick.

Environmental Problem Solving: Psychosocial Barriers to Adaptive Change (Springer Series on Environmental Management)

Politics & Social Sciences

Social Sciences

Springer

Business & Money

Now available in paperback?a provocative new look at biology, evolution, and human behavior ?as disturbing [as it is] fascinating? (Publishers Weekly). Why are most neurosurgeons male and most kindergarten teachers female? Why aren?t there more women on death row? Why do so many male politicians ruin their careers with sex scandals? Why and how do we really fall in love? This engaging book uses the latest research from the field of evolutionary psychology to shed light on why we do the things we do?from life plans to everyday decisions. With a healthy disregard for political correctness, Miller and Kanazawa reexamine the fact that our brains and bodies are hardwired to carry out an evolutionary mission? an inescapable human nature that actually stopped evolving about 10,000 years ago.

Why Beautiful People Have More Daughters: From Dating, Shopping, and Praying to Going to War and Becoming a Billionaire

Health, Fitness & Dieting

Psychology & Counseling

Tarcher

Most scientific computing packages contain facilities for stepwise regression and often for 'all subsets' and other techniques for finding 'best-fitting' subsets of regression variables. The application of standard theory can be very misleading in such cases when the model has not been chosen a priori, but from the data. There is widespread awareness that considerable over-fitting occurs and that prediction equations obtained after extensive 'data dredging' often perform poorly when applied to new data.This monograph relates almost entirely to least-squares methods of finding and fitting subsets of regression variables, though most of the concepts are presented in terms of the interpretation and statistical properties of orthogonal projections. An early chapter introduces these methods, which are still not widely known to users of least-squares methods.Existing methods are described for testing whether any useful improvement can be obtained by using any of a set of predictors. Spjotvoll's method for comparing two arbitrary subsets of predictor variables is illustrated and described in detail.When the selected model is the 'best-fitting' in some sense, conventional fitting methods give estimates of regression coefficients which are usually biased in the direction of being too large. The extent of this bias is demonstrated for simple cases. Various ad hoc methods for correcting the bias are discussed (ridge regression, James-Stein shrinkage, jack-knifing, etc.), together with the author's maximum likelihood technique. Areas in which further research is needed are also outlined.

Subset Selection in Regression (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Full Length, Drama / 1m, 2f / Interior Based on the short novel by D.H. Lawrence, two English women in their 30's are struggling to run an isolated farm, but the hens have stopped laying and the hen house is being raided by a fox. Enter a young soldier who is such an engaging and capable fellow that he is invited to stay on as a hired hand. Who is this mysterious man who eventually dominates life on the farm? "This is the rare adaptation that honors its source while having the guts to depart from it." -L.A. Times.

The Fox: Based on the Short Novel, The Fox by D. H. Lawrence

Literature & Fiction

Miller, Allan

Dramas & Plays

Concord Theatricals

Discover the Dangers and Benefits of Drug-Herb-Vitamin Interactions Are you aware that mixing certain drugs, herbs, and vitamins can benefit your health, whereas other combinations are downright dangerous? It's true. With the right vitamin or herb you can reduce or even eliminate certain side effects of over-the-counter or prescription medications. On the other hand, taking the wrong vitamin or herb can increase some side effects or interfere with the effectiveness of your medication. This book can help you to be sure! Inside, you'll learn how to reduce the risk of hazardous interactions. You'll also discover exactly which supplements to take to enhance the effectiveness of your medications. Every statement is based on the latest scientific research and is rigorously reviewed for accuracy by a medical doctor and a professor of pharmacology. Balanced and trustworthy, this book includes: ·Detailed descriptions of drugs, herbs, and vitamins and their uses ·A comprehensive guide to both negative and positive combinations ·Easy reference to specific drug-herb-vitamin interactions ·And much more! This is the essential reference for anyone taking vitamins, minerals, or herbs with over-the-counter or prescription medications.

The Natural Pharmacist : Drug-Herb-Vitamin Interactions Bible

Bratman M.D., Steven

Harkness, Richard

Prima Lifestyles

Challenging the current belief that environmentally safe practices are economically unprofitable, a new industrial theory suggests that future global economic leadership may actually be determined by advances in environmental technology.

Green Gold: Japan, Germany, the United States, and the Race for Environmental Technology

Moore, Curtis

Economics

Beacon Pr

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Books by Miller, Alan