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Written by experts, these guides give novice and experienced livestock farmers all they need to know to successfully keep and profit from animals. Each book includes information on selection, housing, space requirements, breeding and birthing techniques, feeding, behavior, and health concerns and remedies for illness. The books also address the business of raising animals -- processing meat, milk, eggs, and more. The authors were chosen not only for their expertise but also for their ability to explain the ins and outs of animal husbandry in an inviting and authoritative manner.

Whether readers are ready to start an entire herd or flock or are considering purchasing their first animal, Storey's Guide to Raising series offers vital information; each book is an indispensable reference.

This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents.

John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.

Picking up right where Statistics For Dummies left off, this straightforward, easy-to-follow book guides you beyond Central Limit Theorem and hypothesis tests and immerses you in flavors of regression, ANOVA, and nonparametric procedures. Unlike regular statistics books, this guide provides full explanations of intermediate statistical ideas; computer input dissection; an extensive number of examples, tips, strategies, and warnings; and clear, concise step-by-step procedures—all in a language you can understand. You’ll soon discover how to:

• Analyze data and base models off of your data
• Make predictions using regression
• Compare many means with ANOVA
• Test models using Chi-square
• Dealing with abnormal data