Concise Revision Course Integrated Science A Concise Revision Course For Csec R

The Concise Revision Course CSEC(R) Integrated Science provides full coverage of the CSEC(R) Integrated Science syllabus. This book provides comprehensive and authoritative guidance for the course. It adopts a practical, supportive approach to help students with their learning. Providing revision exam and assessment questions to help this learning.Collins Concise Revision Course CSEC(R) Integrated Science follows the approach developed for the best-selling Collins concise revision courses for biology, chemistry and physics. Tens of thousands of students rely on these titles to help them achieve good grades in the CSEC(R) exams, and the same highly effective approach has now been applied to CSEC(R) Integrated Science. The Collins concise revision courses are written in a way that is clear and that avoids unnecessary repetition. They provide the facts required in a way that makes them easy for students to learn, with annotated diagrams, tables and bulleted lists throughout.

The CSEC® Chemistry Concise Revision Course provides full coverage of the CSEC® Chemistry syllabus. This book provides comprehensive and authoritative guidance for the course. It adopts a practical, supportive approach to help students with their learning. Revision exam and assessment guidance questions throughout consolidate this learning. Comprehensive coverage of the CSEC® Chemistry course, presented in an engaging, full-colour format Revision questions at the end of each topic help to secure knowledge and understanding Exam-style questions at the end of each section provide effective practice for the actual exam Answers are available for free at www.collins.co.uk/caribbean

One Health addresses health challenges arising from the intertwined spheres of humans, animals and ecosystems. This handbook is the product of an interdisciplinary effort to provide science-based guidance for the evaluation of One Health and other integrated approaches to health. It guides the reader through a systems approach and framework to evaluate such approaches in a standardised way. It provides an overview of concepts and metrics from health and life sciences, social sciences, economics, and ecology that are relevant for the evaluation of the processes involved, as well as the characterisation of expected and unexpected outcomes of One Health initiatives. Finally, the handbook provides guidance and practical protocols to help plan and implement evaluations in order to generate new insights and provide meaningful information about the value of One Health. The handbook is intended for practitioners, researchers, evaluators as well as funders of integrated approaches to health and beyond.

Cambridge Low Price Editions are reprints of internationally respected books from Cambridge University Press. The text has been completely revised and updated to provide comprehensive coverage of all the major biology syllabuses at Advanced level. It is also suitable for first-year students in higher education. It contains: clearly written up-to-date information appropriate to the new Advanced level biology syllabuses, new material covering microbiology and biotechnology, the applications of genetics, and human health and disease, a variety of questions throughout the text, carefully selected and clearly presented practical investigations in many of the units, appendices providing basic information and techniques relating to the relevant areas of the physical sciences and mathematics (e.g.biological chemistry and statistics)

The most comprehensive match to the new 2014 Chemistry syllabus, this completely revised edition gives you unrivalled support for the new concept-based approach, the Nature of science. The only DP Chemistry resource that includes support directly from the IB, focused exam practice, TOK links and real-life applications drive achievement.

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 linear mixed models, generalized linear models, and the Bayesian linear model are also addressed. Linear Models in Statistics, Second Edition includes full coverage of advanced topics, such as mixed and generalized linear models, Bayesian linear models, two-way models with empty cells, geometry of least squares, vector-matrix calculus, simultaneous inference, and logistic and nonlinear regression. Algebraic, geometrical, frequentist, and Bayesian approaches to both the inference of linear models and the analysis of variance are also illustrated. Through the expansion of relevant material and the inclusion of the latest technological developments in the field, this book provides readers with the theoretical foundation to correctly interpret computer software output as well as effectively use, customize, and understand linear models. This modern Second Edition features: New chapters on Bayesian linear models as well as random and mixed linear models Expanded discussion of two-way models with empty cells Additional sections on the geometry of least squares Updated coverage of simultaneous inference The book is complemented with easy-to-read proofs, real data sets, and an extensive bibliography. A thorough review of the requisite matrix algebra has been addedfor transitional purposes, and numerous theoretical and applied problems have been incorporated with selected answers provided at the end of the book. A related Web site includes additional data sets and SAS® code for all numerical examples. Linear Model in Statistics, Second Edition is a must-have book for courses in statistics, biostatistics, and mathematics at the upper-undergraduate and graduate levels. It is also an invaluable reference for researchers who need to gain a better understanding of regression and analysis of variance.

Newly revised in line with the latest syllabus and with a modernised, student-friendly design, which provides additional practice for students and brings lab work to life with exciting activities and simulations.

Collins Integrated science for the Caribbean is an activity-led course set in contexts relevant to the Caribbean.