Author: Craig Adam

Publisher: John Wiley & Sons

ISBN: 1119964180

Category: Medical

Page: 366

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### Essential Mathematics and Statistics for Forensic Science

This text is an accessible, student-friendly introduction to the wide range of mathematical and statistical tools needed by the forensic scientist in the analysis, interpretation and presentation of experimental measurements. From a basis of high school mathematics, the book develops essential quantitative analysis techniques within the context of a broad range of forensic applications. This clearly structured text focuses on developing core mathematical skills together with an understanding of the calculations associated with the analysis of experimental work, including an emphasis on the use of graphs and the evaluation of uncertainties. Through a broad study of probability and statistics, the reader is led ultimately to the use of Bayesian approaches to the evaluation of evidence within the court. In every section, forensic applications such as ballistics trajectories, post-mortem cooling, aspects of forensic pharmacokinetics, the matching of glass evidence, the formation of bloodstains and the interpretation of DNA profiles are discussed and examples of calculations are worked through. In every chapter there are numerous self-assessment problems to aid student learning. Its broad scope and forensically focused coverage make this book an essential text for students embarking on any degree course in forensic science or forensic analysis, as well as an invaluable reference for post-graduate students and forensic professionals. Key features: Offers a unique mix of mathematics and statistics topics, specifically tailored to a forensic science undergraduate degree. All topics illustrated with examples from the forensic science discipline. Written in an accessible, student-friendly way to engage interest and enhance learning and confidence. Assumes only a basic high-school level prior mathematical knowledge.

### Forensic Science

A clear, comprehensive and authoritative introduction to forensic science.

### Statistical Analysis in Forensic Science

A practical guide for determining the evidential value of physicochemical data Microtraces of various materials (e.g. glass, paint, fibres, and petroleum products) are routinely subjected to physicochemical examination by forensic experts, whose role is to evaluate such physicochemical data in the context of the prosecution and defence propositions. Such examinations return various kinds of information, including quantitative data. From the forensic point of view, the most suitable way to evaluate evidence is the likelihood ratio. This book provides a collection of recent approaches to the determination of likelihood ratios and describes suitable software, with documentation and examples of their use in practice. The statistical computing and graphics software environment R, pre-computed Bayesian networks using Hugin Researcher and a new package, calcuLatoR, for the computation of likelihood ratios are all explored. Statistical Analysis in Forensic Science will provide an invaluable practical guide for forensic experts and practitioners, forensic statisticians, analytical chemists, and chemometricians. Key features include: Description of the physicochemical analysis of forensic trace evidence. Detailed description of likelihood ratio models for determining the evidential value of multivariate physicochemical data. Detailed description of methods, such as empirical cross-entropy plots, for assessing the performance of likelihood ratio-based methods for evidence evaluation. Routines written using the open-source R software, as well as Hugin Researcher and calcuLatoR. Practical examples and recommendations for the use of all these methods in practice.

### Essential Maths for Geoscientists

Maths for Geoscientists is an accessible, student-friendly introduction to the essential mathematics required by those students taking degree courses within the Geosciences. Clearly structured throughout, this book carefully guides the student step by step through the mathematics they will encounter and will provide numerous applied examples throughout to enhance students understanding and to place each technique into context. Opening with a chapter explaining the need for studying mathematics within geosciences the book then moves on to cover algebra, equations, solutions, logarithms and exponentials, statistics and probability, trigonometry, vectors and calculus. The final chapter helps to bring it all together and provides the students with sample projects to test their knowledge. Worked applied examples are included in each chapter along with applied problem questions which are a mix of straightforward maths questions, word questions (developing maths to words), and more involved questions that involve the manipulation and interpretation of real and synthetic data.

### Statistik für Dummies

Entdecken Sie mit "Statistik für Dummies" Ihren Spaß an der Statistik und werfen Sie einen Blick hinter die Kulissen der so beliebten Manipulation von Zahlenmaterial! Deborah Rumsey zeigt Ihnen das nötige statistische Handwerkszeug wie Stichprobe, Wahrscheinlichkeit, Bias, Median, Durchschnitt und Korrelation. Sie lernen die verschiedenen grafischen Darstellungsmöglichkeiten von statistischem Material kennen und werden über die unterschiedlichen Methoden der Auswertung erstaunt sein. Schärfen Sie mit diesem Buch Ihr Bewusstsein für Zahlen und deren Interpretation, so dass Ihnen keiner mehr etwas vormachen kann!

### Introduction to Statistics for Forensic Scientists

Introduction to Statistics for Forensic Scientists is anessential introduction to the subject, gently guiding the readerthrough the key statistical techniques used to evaluate varioustypes of forensic evidence. Assuming only a modest mathematicalbackground, the book uses real-life examples from the forensicscience literature and forensic case-work to illustrate relevantstatistical concepts and methods. Opening with a brief overview of the history and use ofstatistics within forensic science, the text then goes on tointroduce statistical techniques commonly used to examine dataobtained during laboratory experiments. There is a strong emphasison the evaluation of scientific observation as evidence and modernBayesian approaches to interpreting forensic data for the courts.The analysis of key forms of evidence are discussed throughout witha particular focus on DNA, fibres and glass. An invaluable introduction to the statistical interpretation offorensic evidence; this book will be invaluable for allundergraduates taking courses in forensic science. Introduction to the key statistical techniques used in theevaluation of forensic evidence Includes end of chapter exercises to enhance studentunderstanding Numerous examples taken from forensic science to put thesubject into context

### Essentials of Mathematical Methods in Science and Engineering

A complete introduction to the multidisciplinary applications ofmathematical methods In order to work with varying levels of engineering and physicsresearch, it is important to have a firm understanding of keymathematical concepts such as advanced calculus, differentialequations, complex analysis, and introductory mathematical physics.Essentials of Mathematical Methods in Science andEngineering provides a comprehensive introduction to thesemethods under one cover, outlining basic mathematical skills whilealso encouraging students and practitioners to develop new,interdisciplinary approaches to their research. The book begins with core topics from various branches ofmathematics such as limits, integrals, and inverse functions.Subsequent chapters delve into the analytical tools that arecommonly used in scientific and engineering studies, includingvector analysis, generalized coordinates, determinants andmatrices, linear algebra, complex numbers, complex analysis, andFourier series. The author provides an extensive chapter onprobability theory with applications to statistical mechanics andthermodynamics that complements the following chapter oninformation theory, which contains coverage of Shannon's theory,decision theory, game theory, and quantum information theory. Acomprehensive list of references facilitates further exploration ofthese topics. Throughout the book, numerous examples and exercises reinforcethe presented concepts and techniques. In addition, the book is ina modular format, so each chapter covers its subject thoroughly andcan be read independently. This structure affords flexibility forindividualizing courses and teaching. Providing a solid foundation and overview of the variousmathematical methods and applications in multidisciplinaryresearch, Essentials of Mathematical Methods in Science andEngineering is an excellent text for courses in physics,science, mathematics, and engineering at the upper-undergraduateand graduate levels. It also serves as a useful reference forscientists and engineers who would like a practical review ofmathematical methods.

### Essentials of Planning, Selecting, and Tailoring Interventions for Unique Learners

A Resource for Designing and Implementing Intervention Programsfor At-Risk Learners This authoritative resource provides step-by-step procedures forplanning, selecting, and tailoring interventions for at-risklearners with a unique focus on how to individualize interventionsusing actual case examples. In addition, this volume offersguidelines for gathering and interpreting data in a manner thatassists in identifying targets for intervention and rich discussionand information relating to specific academic, cognitive, andbehavioral manifestations of students with learning difficulties inreading, math, writing, and oral language. Practitioners will alsorecognize and learn how to intervene with students from underservedand mis-served populations who are at risk for learning failureincluding English-language learners and students from impoverishedenvironments. Each chapter describes how specific difficulties interfere withclassroom tasks and explain how to select, modify, or otherwisetailor an intervention based on that information. As with allvolumes in the Essentials of Psychological Assessmentseries, this volume includes callout boxes highlighting keyconcepts, extensive illustrative material, and test questions. Thecompanion CD-ROM provides additional worksheets, case studies, andhandouts.

### Essential Mathematics for Market Risk Management

Everything you need to know in order to manage risk effectively within your organization You cannot afford to ignore the explosion in mathematical finance in your quest to remain competitive. This exciting branch of mathematics has very direct practical implications: when a new model is tested and implemented it can have an immediate impact on the financial environment. With risk management top of the agenda for many organizations, this book is essential reading for getting to grips with the mathematical story behind the subject of financial risk management. It will take you on a journey—from the early ideas of risk quantification up to today's sophisticated models and approaches to business risk management. To help you investigate the most up-to-date, pioneering developments in modern risk management, the book presents statistical theories and shows you how to put statistical tools into action to investigate areas such as the design of mathematical models for financial volatility or calculating the value at risk for an investment portfolio. Respected academic author Simon Hubbert is the youngest director of a financial engineering program in the U.K. He brings his industry experience to his practical approach to risk analysis Captures the essential mathematical tools needed to explore many common risk management problems Website with model simulations and source code enables you to put models of risk management into practice Plunges into the world of high-risk finance and examines the crucial relationship between the risk and the potential reward of holding a portfolio of risky financial assets This book is your one-stop-shop for effective risk management.

### An Essential Guide to Business Statistics

An Essential Guide for Business Statistics is a concise textbook on business statistics aimed at students taking an introductory level undergraduate course. It is a practical text that provides basic theory on key topics and also numerous worked examples and practice exercises. It contains 11 chapters and is ideally suited to a one semester course.

### Essential Statistics for the Pharmaceutical Sciences

Essential Statistics for the Pharmaceutical Sciences is targeted at all those involved in research in pharmacology, pharmacy or other areas of pharmaceutical science; everybody from undergraduate project students to experienced researchers should find the material they need. This book will guide all those who are not specialist statisticians in using sound statistical principles throughout the whole journey of a research project - designing the work, selecting appropriate statistical methodology and correctly interpreting the results. It deliberately avoids detailed calculation methodology. Its key features are friendliness and clarity. All methods are illustrated with realistic examples from within pharmaceutical science. This edition now includes expanded coverage of some of the topics included in the first edition and adds some new topics relevant to pharmaceutical research. a clear, accessible introduction to the key statistical techniques used within the pharmaceutical sciences all examples set in relevant pharmaceutical contexts. key points emphasised in summary boxes and warnings of potential abuses in ‘pirate boxes’. supplementary material - full data sets and detailed instructions for carrying out analyses using packages such as SPSS or Minitab – provided at www.ljmu.ac.uk/pbs/rowestats/ An invaluable introduction to statistics for any science student and an essential text for all those involved in pharmaceutical research at whatever level.

### Practical Skills in Chemistry

This text's unique and comprehensive coverage includes: general advice on practical work; basic laboratory skills, classical and instrumental techniques; analysis and presentation of data; information technology; library resources; and communicating information.

### Math Refresher for Scientists and Engineers

Expanded coverage of essential math, including integral equations,calculus of variations, tensor analysis, and specialintegrals Math Refresher for Scientists and Engineers, Third Edition isspecifically designed as a self-study guide to help busyprofessionals and students in science and engineering quicklyrefresh and improve the math skills needed to perform their jobsand advance their careers. The book focuses on practicalapplications and exercises that readers are likely to face in theirprofessional environments. All the basic math skills needed tomanage contemporary technology problems are addressed and presentedin a clear, lucid style that readers familiar with previouseditions have come to appreciate and value. The book begins with basic concepts in college algebra andtrigonometry, and then moves on to explore more advanced conceptsin calculus, linear algebra (including matrices), differentialequations, probability, and statistics. This Third Edition has beengreatly expanded to reflect the needs of today's professionals. Newmaterial includes: * A chapter on integral equations * A chapter on calculus of variations * A chapter on tensor analysis * A section on time series * A section on partial fractions * Many new exercises and solutions Collectively, the chapters teach most of the basic math skillsneeded by scientists and engineers. The wide range of topicscovered in one title is unique. All chapters provide a review ofimportant principles and methods. Examples, exercises, andapplications are used liberally throughout to engage the readersand assist them in applying their new math skills to actualproblems. Solutions to exercises are provided in an appendix. Whether to brush up on professional skills or prepare for exams,readers will find this self-study guide enables them to quicklymaster the math they need. It can additionally be used as atextbook for advanced-level undergraduates in physics andengineering.

### General Education Essentials

General Education Essentials "Full-time and part-time faculty in any discipline and at anysize campus with any type of mission can pick up this volume andlearn something that will help her or him improve teaching andlearning.???"—From the Foreword by Terrel L. Rhodes, vicepresident for Curriculum, Quality, and Assessment, Association ofAmerican Colleges and Universities Every year, hundreds of small colleges, state schools, andlarge, research-oriented universities across the United States(and, increasingly, Europe and Asia) revisit their core and generaleducation curricula, often moving toward more integrative models.And every year, faculty members who are highly skilled in narrowlydefined fields ask two simple questions: "Why?" and "How is thisgoing to affect me?" General Education Essentials seeks to answer these and otherquestions by providing a much-needed overview of and a rationalefor the recent shift in general education curricular design, asense of how this shift can affect a faculty member's teaching, andan understanding of how all of this might impact course and studentassessment. Filled with examples from a variety of disciplines that willspark insights, General Education Essentials explores thetechniques that can be used to ensure that students are gaining theskills they need to be perceptive scholars and productivecitizens. "This is THE ONE BOOK for academics to get up to speed aboutreforming general education." —Jerry Gaff, senior scholar,Association of American Colleges and Universities

### The Essential R Reference

An essential library of basic commands you can copy and pasteinto R The powerful and open-source statistical programming language Ris rapidly growing in popularity, but it requires that you type incommands at the keyboard rather than use a mouse, so you have tolearn the language of R. But there is a shortcut, and that's wherethis unique book comes in. A companion book to Visualize This:The FlowingData Guide to Design, Visualization, and Statistics,this practical reference is a library of basic R commands that youcan copy and paste into R to perform many types of statisticalanalyses. Whether you're in technology, science, medicine, business, orengineering, you can quickly turn to your topic in this handy bookand find the commands you need. Comprehensive command reference for the R programming languageand a companion book to Visualize This: The FlowingData Guide toDesign, Visualization, and Statistics Combines elements of a dictionary, glossary, and thesaurus forthe R language Provides easy accessibility to the commands you need, by topic,which you can cut and paste into R as needed Covers getting, saving, examining, and manipulating data;statistical test and math; and all the things you can do withgraphs Also includes a collection of utilities that you'll finduseful Simplify the complex statistical R programming language withThe Essential R Reference. .

### Geostatistics for Environmental Scientists

Geostatistics is essential for environmental scientists. Weather and climate vary from place to place, soil varies at every scale at which it is examined, and even man-made attributes – such as the distribution of pollution – vary. The techniques used in geostatistics are ideally suited to the needs of environmental scientists, who use them to make the best of sparse data for prediction, and top plan future surveys when resources are limited. Geostatistical technology has advanced much in the last few years and many of these developments are being incorporated into the practitioner’s repertoire. This second edition describes these techniques for environmental scientists. Topics such as stochastic simulation, sampling, data screening, spatial covariances, the variogram and its modeling, and spatial prediction by kriging are described in rich detail. At each stage the underlying theory is fully explained, and the rationale behind the choices given, allowing the reader to appreciate the assumptions and constraints involved.

### Maths from Scratch for Biologists

Numerical ability is an essential skill for everyone studying thebiological sciences but many students are frightened by the'perceived' difficulty of mathematics, and are nervous aboutapplying mathematical skills in their chosen field of study. Havingtaught introductory maths and statistics for many years, Alan Cannunderstands these challenges and just how invaluable an accessible,confidence building textbook could be to the fearful student.Unable to find a book pitched at the right level, that concentratedon why numerical skills are useful to biologists, he wrote his own.The result is Maths from Scratch for Biologists , a highlyinstructive, informal text that explains step by step how and whyyou need to tackle maths within the biological sciences. Features: * An accessible, jargon-busting approach to help readers masterbasic mathematical, statistical and data handling techniques inbiology * Numerous end of chapter problems to reinforce key concepts andencourage students to test their newly acquired skills throughpractise * A handy, time-saving glossary * A supplementary website with numerous problems and self-testexercises

### Statistical Bioinformatics

This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology. Chapters begin with a description of a statistical concept and a current example from biomedical research, followed by more detailed presentation, discussion of limitations, and problems. The book starts with an introduction to probability and statistics for genome-wide data, and moves into topics such as clustering, classification, multi-dimensional visualization, experimental design, statistical resampling, and statistical network analysis. Clearly explains the use of bioinformatics tools in life sciences research without requiring an advanced background in math/statistics Enables biomedical and life sciences researchers to successfully evaluate the validity of their results and make inferences Enables statistical and quantitative researchers to rapidly learn novel statistical concepts and techniques appropriate for large biological data analysis Carefully revisits frequently used statistical approaches and highlights their limitations in large biological data analysis Offers programming examples and datasets Includes chapter problem sets, a glossary, a list of statistical notations, and appendices with references to background mathematical and technical material Features supplementary materials, including datasets, links, and a statistical package available online Statistical Bioinformatics is an ideal textbook for students in medicine, life sciences, and bioengineering, aimed at researchers who utilize computational tools for the analysis of genomic, proteomic, and many other emerging high-throughput molecular data. It may also serve as a rapid introduction to the bioinformatics science for statistical and computational students and audiences who have not experienced such analysis tasks before.

### Statistics and Probability with Applications for Engineers and Scientists

Introducing the tools of statistics and probabilityfrom the ground up An understanding of statistical tools is essential for engineersand scientists who often need to deal with data analysis over thecourse of their work. Statistics and Probability withApplications for Engineers and Scientists walks readers througha wide range of popular statistical techniques, explainingstep-by-step how to generate, analyze, and interpret data fordiverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probabilitywith Applications for Engineers and Scientists coversdescriptive statistics first, then goes on to discuss thefundamentals of probability theory. Along with case studies,examples, and real-world data sets, the book incorporates clearinstructions on how to use the statistical packages Minitab®and Microsoft® Office Excel® to analyze various datasets. The book also features: • Detailed discussions on sampling distributions,statistical estimation of population parameters, hypothesistesting, reliability theory, statistical quality control includingPhase I and Phase II control charts, and process capabilityindices • A clear presentation of nonparametric methods andsimple and multiple linear regression methods, as well as a briefdiscussion on logistic regression method • Comprehensive guidance on the design of experiments,including randomized block designs, one- and two-way layoutdesigns, Latin square designs, random effects and mixed effectsmodels, factorial and fractional factorial designs, and responsesurface methodology • A companion website containing data sets for Minitaband Microsoft Office Excel, as well as JMP ® routines andresults Assuming no background in probability and statistics,Statistics and Probability with Applications for Engineers andScientists features a unique, yet tried-and-true, approach thatis ideal for all undergraduate students as well as statisticalpractitioners who analyze and illustrate real-world data inengineering and the natural sciences.

### Data Science für Dummies

Daten, Daten, Daten? Sie haben schon Kenntnisse in Excel und Statistik, wissen aber noch nicht, wie all die Datensätze helfen sollen, bessere Entscheidungen zu treffen? Von Lillian Pierson bekommen Sie das dafür notwendige Handwerkszeug: Bauen Sie Ihre Kenntnisse in Statistik, Programmierung und Visualisierung aus. Nutzen Sie Python, R, SQL, Excel und KNIME. Zahlreiche Beispiele veranschaulichen die vorgestellten Methoden und Techniken. So können Sie die Erkenntnisse dieses Buches auf Ihre Daten übertragen und aus deren Analyse unmittelbare Schlüsse und Konsequenzen ziehen.

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Author: Craig Adam

Publisher: John Wiley & Sons

ISBN: 1119964180

Category: Medical

Page: 366

View: 6676

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Publisher: Pearson Education

ISBN: 9780131998803

Category: Law

Page: 464

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*Evidential Values of Multivariate Physicochemical Data*

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Publisher: John Wiley & Sons

ISBN: 0470972106

Category: Mathematics

Page: 336

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*An Introduction*

Author: Paul I. Palmer

Publisher: John Wiley & Sons

ISBN: 111852702X

Category: Science

Page: 224

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Author: Deborah Rumsey

Publisher: John Wiley & Sons

ISBN: 3527705945

Category: Mathematics

Page: 352

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Publisher: John Wiley & Sons

ISBN: 1118700104

Category: Medical

Page: 272

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Publisher: John Wiley & Sons

ISBN: 1118626168

Category: Mathematics

Page: 802

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Author: Jennifer T. Mascolo,Vincent C. Alfonso,Dawn P. Flanagan

Publisher: John Wiley & Sons

ISBN: 1118417356

Category: Psychology

Page: 496

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Publisher: John Wiley & Sons

ISBN: 1119953022

Category: Business & Economics

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Publisher: John Wiley & Sons

ISBN: 1118715632

Category: Business & Economics

Page: 376

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Publisher: John Wiley & Sons

ISBN: 1118913418

Category: Medical

Page: 432

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Publisher: Pearson Education

ISBN: 9780130280022

Category: Chemistry

Page: 362

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Publisher: John Wiley & Sons

ISBN: 0471791547

Category: Mathematics

Page: 330

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*A Guide for College Faculty*

Author: Paul Hanstedt

Publisher: John Wiley & Sons

ISBN: 1118329554

Category: Education

Page: 192

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Author: Mark Gardener

Publisher: John Wiley & Sons

ISBN: 1118391381

Category: Computers

Page: 576

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Author: Richard Webster,Margaret A. Oliver

Publisher: John Wiley & Sons

ISBN: 9780470517260

Category: Mathematics

Page: 330

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Author: Alan J. Cann

Publisher: John Wiley & Sons

ISBN: 1118685709

Category: Science

Page: 240

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*For Biomedical and Life Science Researchers*

Author: Jae K. Lee

Publisher: John Wiley & Sons

ISBN: 1118211529

Category: Medical

Page: 364

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Author: Bhisham C. Gupta,Irwin Guttman

Publisher: John Wiley & Sons

ISBN: 1118522206

Category: Mathematics

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Publisher: John Wiley & Sons

ISBN: 352780675X

Category: Mathematics

Page: 382

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