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Teachers and students alike will enjoy this kit of exciting multiage curriculum for Grades 4-6. Not only will these books save teachers time and ease their minds by meeting and exceeding national gifted education standards, but they will also challenge and expand students' minds with enjoyable hands-on activities. The Multiage Differentiated Cu

This is a solutions manual for research design and statistical analysis.

A comprehensive anthology on justice with readings that offer the different theories on the importance and placement of justice in society.The well-argued, accessible articlesencompass classic to contemporary theories and cover both positive and negative.

A collection of papers from the 1995 Telecommunications Policy Research Conference. Topics covered include the transformation of local exchange telephone services to interconnected competitive networks, pricing problems, achieving interoperatability in networks, and issues of intellectual property.

This work shows how the 1964 presidential campaign between Democrat Lyndon Johnson and Republican Barry Goldwater proved a watershed election in American history. Figures include Wallace, Rockefeller, Nixon, Reagan, Robert Kennedy, Martin Luther King Jr, and George Bush.

This ninth edition text focuses on the varied and changing political and economic environments in which American state and local governments function, and their strengths and weaknesses in key areas of public policy.

A revised edition of this interpretation of world history which divides human history into three categories: kinship societies, tributary societies, and capitalist societies and within each type studies four lifeline issues: ecology, gender relations, social relations and war. This edition looks forward to the 21st century.

Articulates nineteen assumptions that elaborate and make clearer Herbert Blumer's famous premises of symbolic interactionism.

How much of a role does genetics or environment play in accounting for reasoning skill and other intellectual aptitudes? This book argues that both environment and genetics play a role in a child's intelligence, but family environment, especially at an early age, is of primary importance - and suggests how intelligence may be heightened.

Describes Brownian motion and the associated stochastic calculus, including their relationship to partial differential equations. This book solves stochastic differential equations by a variety of methods and studies in detail the one-dimensional case.

Spatial statistics is a specialised field of research, concepts and methods directed towards addressing problems inherent to the statistical treatment of spatial data.. This book is directed towards an audience of social and political scientists, much broader than the scientific community specialized in spatial statistics and spatial econometrics. As such, it will be written in a language appropriate for non-experts, requiring only a basic knowledge of statistics and a minimum familiarity with mathematical formalism.

Many different statistical methods have been developed for predicting the disease classes of patients. However, in order to have confidence in the results of such methods, their performance needs to be assessed. This handbook includes articles by the leading researchers in this area.

In this book, professionals faced with a case of possible child torture will find guidelines for the recognition, investigation, treatment and prosecution of child torture. The text covers the three major settings for child torture: intra-familial, sexual, and political. The main goal is to increase the awareness of the broad spectrum of child torture presentation, and its treatment and prevention. With over 300 color photographs, figures, tables and charts, The Investigation and Prosecution of Child Torture is the first published book on this subject for medical, law enforcement, and legal communities.

This book provides a roadmap for city-specific environmental health studies based on ambient air quality and measures of public health. Chapter one highlights the benefits of city-specific understanding toward the main goal of improving human health through knowledge and action. The book does not address environmental regulation, but rather focuses on the opportunities for individual cities to properly inform their residents of risks and concerns.

Compositional Data Analysis (CoDA) refers to the analysis of all those vectors representing parts of a whole which only carry relative information. This type of data is ubiquitous in most applications, especially in geology, chemistry, genetics, and environmental sciences. The last comprehensive treatment was written by John Aitchison in 1986, and this book represents an update of that classic book.

This book serves as an essential guide for all nurses caring for seriously ill patients on acute general wards and in high-dependency units. With an emphasis on knowledge and skills, the anatomy and physiology of each body system is explored, looking at the major associated conditions and illnesses and how the patient is assessed and monitored.

The aim of this textbook is to train new researchers in analyzing high-throughput omics data by building fundamental skills instead of focusing on technology or platform-specific features that change every few years. The authors seek a balance between breadth and depth in the broad field. The book contains many real examples to illustrate the methodological concept and biological relevance. Computer lab materials (data and hands-on programming code) are included along with homework exercises to provide real-world data analysis experiences.

This book explains and demonstrates with real and simulated examples how whole-genome information can be used for predicting complex traits, with applications in animal, human, and plant genetics. After giving a brief introduction, the book covers linear models and dimensionality, plus regularized regressions. It then progresses to the genomic best linear unbiased predictor, the Bayesian alphabet, reproducing Kernel Hiblert spaces regressions, penalized neural networks, and re-sampling methods. Lastly, it covers whole genome regression and population stratification.