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Since its inception in 2013, Mathematics of Planet Earth (MPE) focuses on mathematical issues arising in the study of our planet. Interested in the impact of human activities on the Earth’s system, this multidisciplinary field considers the planet not only as a physical system, but also as a system supporting life, a system organized by humans, and a system at risk.  ​The articles collected in this volume demonstrate the breadth of techniques and tools from mathematics, statistics, and operations research used in MPE.  Topics include climate modeling, the spread of infectious diseases, stability of ecosystems, ecosystem services, biodiversity, infrastructure restoration after an extreme event, urban environments, food security, and food safety. Demonstrating the mathematical sciences in action, this book presents real-world challenges for the mathematical sciences, highlighting applications to issues of current concern to society. Arranged into three topical sections (Geo- and Physical

Mathematics of Planet Earth

ENbook.pl

emStraightforward Statistics Understanding the Tools of Researchem is a clear and direct introduction to statistics for the social, behavioral, and life sciences. Based on Glenn Geher's extensive experience teaching undergraduate statistics, this book provides a narrative presentation of the core principles that provide the foundation for modern-day statistics. With step-by-step guidance on the nuts and bolts of computing these statistics, the book includes detailed tutorials how to use state-of-the-art software, SPSS, to compute the basic statistics employed in modern academic and applied research. Across 13 succinct chapters, this text presents statistics using a conceptual approach along with information on the relevance of the different tools in different contexts and summaries of current research examples. pStudents should find this book easy useful and engaging in its presentation while instructors should find it detailed, comprehensive, accessible, and helpful in complementing a

Straightforward Statistics | Geher Glenn | Twarda

pThis Handbook provides a wide-ranging and comprehensive coverage of statistical concepts and methods. It has been designed to be accessible to a wide range of readers - from undergraduates and postgraduates studying statistics and statistical analysis as a component of their specific discipline e.g. social sciences, earth sciences, life sciences, engineers, to practitioners and professional research scientists. However, it is not intended to be a guide for mathematicians, advanced students studying statistics or for professional statisticians. For students studying for academic or professional qualifications in statistics, the level and content adopted is that of the Ordinary and Higher Level Certificates of the Royal Statistical Society RSS, offered until 2017. Much of the material included in this Handbook is also appropriate for the Graduate Diploma level also, although we have not sought to be rigorous or excessively formal in our treatment of individual statistical topics, prefer

Statistical Analysis Handbook | de Smith Michael John | Twarda | Twarda

pDesigned for a one-semester course, strongApplied Statistics for Business and Economicsstrong offers students in business and the social sciences an effective introduction to some of the most basic and powerful techniques available for understanding their world. Numerous interesting and important examples reflect real-life situations, stimulating students to think realistically in tackling these problems. Calculations can be performed using any standard spreadsheet package. To help with the examples, the author offers both actual and hypothetical databases on his website http iwu.edu bleekley ppppThe text explores ways to describe data and the relationships found in data. It covers basic probability tools, Bayes' theorem, sampling, estimation, and confidence intervals. The text also discusses hypothesis testing for one and two samples, contingency tables, goodness-of-fit, analysis of variance, and population variances. In addition, the author develops the concepts behind the linear re

Applied Statistics for Business and Economics | Leekley Robert M. | Paperback | Twarda

pbExplore the advantages and shortcomings of various forms of multiblock analysis, and the relationships between them, with this expert guidebp pArising out of fusion problems that exist in a variety of fields in the natural and life sciences, the methods available to fuse multiple data sets have expanded dramatically in recent years. Older methods, rooted in psychometrics and chemometrics, also exist.p piMultiblock Data Fusion in Statistics and Machine Learning Applications in the Natural and Life Sciencesi is a detailed overview of all relevant multiblock data analysis methods for fusing multiple data sets. It focuses on methods based on components and latent variables, including both well-known and lesser-known methods with potential applications in different types of problems.p pMany of the included methods are illustrated by practical examples and are accompanied by a freely available R-package. The distinguished authors have created an accessible and useful guide to help readers 

Multiblock Data Fusion in Statistics and Machine Learning | Smilde Age K. | Twarda

pR is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen's extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. pUnderscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of correctly entering and analyzing data and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normally distributed data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance ANOVA, correlation, and linear and nonlinear regression analyses. This volume also includes a section

A Primer in Biological Data Analysis and Visualization Using R | Hartvigsen Gregg | Paperback | Twarda

Do you have a biological question that could be readily answered by computational techniques, but little experience in programming Do you want to learn more about the core techniques used in computational biology and bioinformatics Written in an accessible style, this guide provides a foundation for both newcomers to computer programming and those interested in learning more about computational biology. The chapters guide the reader through a complete beginners' course to programming in Python, with an introduction to computing jargon descriptions of core bioinformatics methods with working Python examples scientific computing techniques, including image analysis, statistics and machine learning. This book also functions as a language reference written in straightforward English, covering the most common Python language elements and a glossary of computing and biological terms. This title will teach undergraduates, postgraduates and professionals working in the life sciences how to pro

Python Programming for Biology | Stevens Tim J. | Twarda

pbBrings mathematics to bear on your real-world, scientific problemsbp piMathematical Methods in Interdisciplinary Sciencesi provides a practical and usable framework for bringing a mathematical approach to modelling real-life scientific and technological problems. The collection of chapters Dr. Snehashish Chakraverty has provided describe in detail how to bring mathematics, statistics, and computational methods to the fore to solve even the most stubborn problems involving the intersection of multiple fields of study. Graduate students, postgraduate students, researchers, and professors will all benefit significantly from the author's clear approach to applied mathematics.p pThe book covers a wide range of interdisciplinary topics in which mathematics can be brought to bear on challenging problems requiring creative solutions. Subjects include p ul liStructural static and vibration problemsli liHeat conduction and diffusion problemsli liFluid dynamics problemsli ul pThe book also cove

Mathematical Methods in Interdisciplinary Sciences | Chakraverty Snehashish | Twarda | Twarda

The second edition of Statistics for the Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model GLM, the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting, and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.

Statistics for the Social Sciences | Warne Russell T. | Twarda

emStraightforward Statistics Understanding the Tools of Research emis a clear and direct introduction to statistics for the social, behavioral, and life sciences. Based on the author's extensive experience teaching undergraduate statistics, this book provides a narrative presentation of the core principles that provide the foundation for modern-day statistics. With step-by-step guidance on the nuts and bolts of computing these statistics, the book includes detailed tutorials how to use state-of-the-art software, SPSS, to compute the basic statistics employed in modern academic and applied research. Across 13 succinct chapters, this text presents statistics using a conceptual approach along with information on the relevance of the different tools in different contexts and summaries of current research examples. pStudents should find this book easy useful and engaging in its presentation while instructors should find it detailed, comprehensive, accessible, and helpful in complementing a 

Introductory Mathematics for the Life Sciences offers a straightforward introduction to the mathematical principles needed for studies in the life sciences. Starting with the basics of numbers, fractions, ratios, and percentages, the author explains progressively more sophisticated concepts, from algebra, measurement, and scientific notation through the linear, power, exponential, and logarithmic functions to introductory statistics. Worked examples illustrate concepts, applications, and interpretations, and exercises at the end of each chapter help readers apply and practice the skills they develop. Answers to the exercises are posted at the end of the text.

Introductory Mathematics for the Life Sciences | Phoenix David | Paperback | Twarda

pstrongEssentials of Statistics for the Behavioral Sciences is a concise version of emStatistics for the Behavioral Sciencesem by strongaward-winning teacher, author, and advisor Gregory J. Privitera. The strongSecond Editionstrong provides balanced coverage for today's students, connecting the relevance of core concepts to daily life with new introductory vignettes for every chapter, while speaking to the reader as a researcher when covering statistical theory, computation, and application. Robust pedagogy allows students to continually check their comprehension and hone their skills while working through carefully developed problems and exercises that include current research and seamless integration of IBMR SPSSR Statistics. Readers will welcome Privitera's thoughtful instruction, conversational voice, and application of statistics to real-world problems.p

Essential Statistics for the Behavioral Sciences | Privitera Gregory J. | Paperback | Twarda

Everything you need to pass FRCEM Primary is in this book. Based on the popular and successful emRevision Notes for the MCEM Part Aem this new edition is mapped against the new FRCEM Primary syllabus. Addressing the basic sciences as they apply to Emergency Medicine and recent exam topics such as clinical trials and statistics, all components of the exams are covered. pWritten in a revision notes style, lists, bullets points and tables help candidates to absorb information and revise efficiently. This new edition includes more anatomy illustrations to bring the text to life and aid understanding. The author, a successful FRCEM candidate and Consultant in Emergency Medicine, brings his considerable experience to this text. pComplete, refreshed and improved, emRevision Notes for the FRCEM Primaryem is the ideal companion for all FRCEM candidates.br

Revision Notes for the Frcem Primary | Harrison Mark | Paperback | Twarda

pNonparametric Models for Longitudinal Data iwith Implementations in Ri presents a comprehensive summary of major advances in nonparametric models and smoothing methods with longitudinal data. It covers methods, theories, and applications that are particularly useful for biomedical studies in the era of big data and precision medicine. It also provides flexible tools to describe the temporal trends, covariate effects and correlation structures of repeated measurements in longitudinal data. pbrbrpThis book is intended for graduate students in statistics, data scientists and statisticians in biomedical sciences and public health. As experts in this area, the authors present extensive materials that are balanced between theoretical and practical topics. The statistical applications in real-life examples lead into meaningful interpretations and inferences. pbbrbrpFeatures pbrbrulbbrbrpbrbrliProvides an overview of parametric and semiparametric methods librbrppbrbrpbrbrliShows smoothing met

Nonparametric Models for Longitudinal Data | Wu Colin O. | Twarda

Many real-life systems are dynamic, evolving, and intertwined. Examples of such systems displaying 'complexity', can be found in a wide variety of contexts ranging from economics to biology, to the environmental and physical sciences. The study of complex systems involves analysis and interpretation of vast quantities of data, which necessitates the application of many classical and modern tools and techniques from statistics, network science, machine learning, and agent-based modelling. Drawing from the latest research, this self-contained and pedagogical text describes some of the most important and widely used methods, emphasising both empirical and theoretical approaches. More broadly, this book provides an accessible guide to a data-driven toolkit for scientists, engineers, and social scientists who require effective analysis of large quantities of data, whether that be related to social networks, financial markets, economies or other types of complex systems.

Data Science for Complex Systems | Chakrabarti Anindya S. | Twarda | Twarda

This book discusses all major topics on survey sampling and estimation. It covers traditional as well as advanced sampling methods related to the spatial populations. The book presents real-world applications of major sampling methods and illustrates them with the R software. As a large sample size is not cost-efficient, this book introduces a new method by using the domain knowledge of the negative correlation between the variable of interest and the auxiliary variable in order to control the size of a sample. In addition, the book focuses on adaptive cluster sampling, rank-set sampling and their applications in real life. Advance methods discussed in the book have tremendous applications in ecology, environmental science, health science, forestry, bio-sciences, and humanities. This book is targeted as a text for undergraduate and graduate students of statistics, as well as researchers in various disciplines.pppp

Advanced Sampling Methods | Latpate Raosaheb | Paperback | Twarda

Statistical methods are a key tool for all scientists working with data, but learning the basics continues to challenge successive generations of students. This accessible textbook provides an up-to-date introduction to the classical techniques and modern extensions of linear model analysis-one of the most useful approaches for investigating scientific data in the life and environmental sciences. While some of the foundational analyses e.g. t tests, regression, ANOVA are as useful now as ever, best practice moves on and there are many new general developments that offer great potential. The book emphasizes an estimation-based approach that takes account of recent criticisms of over-use of probability values and introduces the alternative approach that uses information criteria. pThis new edition includes the latest advances in R and related software and has been thoroughly road-tested over the last decade to create a proven textbook that teaches linear and generalized linear model anal

The New Statistics with R | Hector Andy | Twarda

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pHow can music withstand the death and destruction brought on by war Global conflicts of the 20th century fundamentally transformed not only national boundaries, power relations, and global economies, but also the arts and culture of every nation involved. An important, unacknowledged aspect of these conflicts is that they have unique musical soundtracks. iMusic in World War IIi explores how music and sound took on radically different dimensions in the United States and Europe before, during, and after World War II. Additionally, the collection examines the impact of radio and film as the disseminators of the war's musical soundtrack. Contributors contend that the European and American soundtrack of World War II was largely one of escapism rather than the lofty, solemn, heroic, and celebratory mode of war music in the past. Furthermore, they explore the variety of experiences of populations forced from their homes and interned in civilian and POW camps in Europe and the United States, 

Music in World War II | Potter Pamela M. | Twarda

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statistics for life sciences