This book describes the construction of algebraic models which represent the operations of the double entry accounting system. It gives a novel, comprehensive, proof based treatment of the topic, using such concepts from abstract algebra as automata, digraphs, monoids and quotient structures.
An Elementary Introduction to Statistical Learning Theory; is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and statistical learning theory. Explaining these areas at a level and in a way that is not often found in other books on the topic, the authors present the basic theory behind contemporary machine learning and uniquely utilize its foundations as a framework for philosophical thinking about inductive inference.
How to Pass Numeracy Tests will help you practice for timed tests, revise your maths and numeracy knowledge and improve your test technique. Providing over 350 practice questions it also gives vital advice on how the tests are marked and what you can do to optimise results.The wide variety of practice includes 20 timed tests on data interpretation, number sequences and number problems, covering percentages, averages, currency, decimals, whole numbers, multiplication and division as well as adding and substracting. With mental arithmetic starter exercises and a host of preparation techniques, How to Pass Numeracy Tests will help increase your confidence and beat the competition.
Designed to help anyone lacking in practice, How to Pass Numerical Reasoning Tests is an invaluable resource for brushing up on your maths skills. An overview of the basics is followed by a step-by-step guide to numerical tests including fractions and decimals, rates, percentages, data interpretation and ratios and proportions. Written in an approachable way and using an easy to follow format, it will help boost your understanding and develop your analytical skills. Focusing on the core areas of numeracy, it will help you learn to answer questions without using of a calculator and dramatically increase your numerical confidence.
Need help interpreting other people's health research? This book offers guidance for students undertaking a critical review of quantitative research papers and will also help health professionals to understand and interpret statistical results within health-related research papers. Walker and Almond have helpfully cross-referenced throughout, so those requiring in-depth explanations or additional worked examples can locate these easily. Interpreting Statistical Research Findings is key reading for nursing and health care students and will help make this area of research much easier to tackle!