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Linear regression with one predictor variable; Inferences in regression and correlation analysis; Diagnosticis and remedial measures; Simultaneous inferences and other topics in regression analysis; Matrix approach to simple linear regression analysis; Multiple linear regression; Nonlinear regression; Design and analysis of single-factor studies; Multi-factor studies; Specialized study designs.
The reintroduction of rare and endangered species to their natural habitat is one of emerging tools of ecosystem management. Yet despite hundreds of ongoing projects, the biological underpinnings of such activity are poorly understood, and important questions remain. Restoring Diversity provides biological, policy, and regulatory foundations for successful restoration of rare plants. Topics considered include the strategic and legal context for rare plant restoration, the biology of restoration, use (and misuse) of mitigation in rare plant conservation, and case studies from across the United States. Restoring Diversity presents model guidelines for the reintroduction of endangered plants - guidelines that incorporate ideas contained in the book's chapters with the wide-ranging experience of experts in the field. It is a pathbreaking work that not only unifies concepts in the field of restoration, but also fills significant technical and policy gaps and provides operational tools for successful restorations.
This book presents an accessible approach to understanding time series models and their applications. The ideas and methods are illustrated with both real and simulated data sets. A unique feature of this edition is its integration with the R computing environment.
The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to...
A Hands-On Way to Learning Data AnalysisPart of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with R, Second Edition explains how to use linear models
It has been ten years since the National Hormone and Pituitary Program (then called the National Pituitary Agency) sponsored a symposium on human growth hormone (hGH). Numerous advances have occurred during this period. This book does not attempt to summarize past achievements. Rather, it deals with the contemporary issues in hGH research. A discussion of the present state of the art, of necessity, includes a review of the past. Some of the topics herein discussed include the following: 1. Growth hormone releasing factor (GRF). In 1973, the growth hormone inhibitory factor (somatostatin) had recently been discovered. The search for a releasing factor in humans led to its discovery not in the...
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People have been predicting the end of the world since...well, the beginning of it. Oh, the form it takes may vary-firestorm, earthquake, plague, new ice age, alien invasion, nuclear cloud, or the rise of our machines-but everyone who survives will be starting over at Square One. Your needs won't be that different from today's: food, shelter, work, finances, relationships, 24-hour cable.... But you'll have more raw materials to deal with. Apocalypse How is the humorous how-to-guide to living your best life possible (after the Apocalypse renders your current quality of life null and void.) Organized like a travel or lifestyle guide, the book tells you all you need to know in order to fend off...