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Hahn Gerald J. A Career in Statistics. Beyond the Numbers


A valuable guide to a successful career as a statistician A Career in Statistics: Beyond the Numbers prepares readers for careers in statistics by emphasizing essential concepts and practices beyond the technical tools provided in standard courses and texts. This insiders guide from internationally recognized applied statisticians helps readers decide whether a career in statistics is right for them, provides hands-on guidance on how to prepare for such a career, and shows how to succeed on the job. The book provides non-technical guidance for a successful career. The authors extensive industrial experience is supplemented by insights from contributing authors from government and academia, Carol Joyce Blumberg, Leonard M. Gaines, Lynne B. Hare, William Q. Meeker, and Josef Schmee. Following an introductory chapter that provides an overview of the field, the authors discuss the various dimensions of a career in applied statistics in three succinct parts: The Work of a Statistician describes the day-to-day activities of applied statisticians in business and industry, official government, and various other application areas, highlighting the work environment and major on-the-job challenges Preparing for a Successful Career in Statistics describes the personal traits that characterize successful statisticians, the education that they need to acquire, and approaches for securing the right job Building a Successful Career as a Statistician offers practical guidance for addressing key challenges that statisticians face on the job, such as project initiation and execution, effective communication, publicizing successes, ethical considerations, and gathering good data; alternative career paths are also described The book concludes with an in-depth examination of careers for statisticians in academia as well as tips to help them stay on top of their field throughout their careers. Each chapter includes thought-provoking discussion questions and a Major Takeaways section that outlines key concepts. Real-world examples illustrate key points, and an FTP site provides additional information on selected topics. A Career in Statistics is an invaluable guide for individuals who are considering or have decided on a career in statistics as well as for statisticians already on the job who want to accelerate their path to success. It also serves as a suitable book for courses on statistical consulting, statistical practice, and statistics in the workplace at the undergraduate and graduate levels.

6015.07 РУБ

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Gerald W. Esch Ecological Parasitology. Reflections on 50 Years of Research in Aquatic Ecosystems


Professor Gerald Esch has already published two books in what is becoming an informal series of essays exploring the way that discoveries about the biology of parasites have influenced ecological and evolutionary theories over a career that has spanned nearly 50 years. This book will be the third set of essays and will focus on key moments of discovery and explore how these achievements were due to collaboration, mentoring, and community building within the field of ecological parasitology. The book will not only describe case studies, pure science and biology but also act as a career guide for early-career ecologists emphasizing the importance of collaboration in the advancement of science.

5195.48 РУБ

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Kristin Jarman H. Beyond Basic Statistics. Tips, Tricks, and Techniques Every Data Analyst Should Know


Features basic statistical concepts as a tool for thinking critically, wading through large quantities of information, and answering practical, everyday questions Written in an engaging and inviting manner, Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know presents the more subjective side of statistics—the art of data analytics. Each chapter explores a different question using fun, common sense examples that illustrate the concepts, methods, and applications of statistical techniques. Without going into the specifics of theorems, propositions, or formulas, the book effectively demonstrates statistics as a useful problem-solving tool. In addition, the author demonstrates how statistics is a tool for thinking critically, wading through large volumes of information, and answering life’s important questions. Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know also features: Plentiful examples throughout aimed to strengthen readers’ understanding of the statistical concepts and methods A step-by-step approach to elementary statistical topics such as sampling, hypothesis tests, outlier detection, normality tests, robust statistics, and multiple regression A case study in each chapter that illustrates the use of the presented techniques Highlights of well-known shortcomings that can lead to false conclusions An introduction to advanced techniques such as validation and bootstrapping Featuring examples that are engaging and non-application specific, the book appeals to a broad audience of students and professionals alike, specifically students of undergraduate statistics, managers, medical professionals, and anyone who has to make decisions based on raw data or compiled results.

4605.81 РУБ

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Sundar Christopher A. Navigating Graduate School and Beyond. A Career Guide for Students a Must Read Every Advisor


Published by the American Geophysical Union as part of the Special Publications Series. Graduate school can be an exciting, challenging time for students, but it can be scary and intimidating at the same time. Navigating Graduate School and Beyond: A Career Guide for Graduate Students and a Must Read for Every Advisor outlines the steps and skills necessary to succeed in graduate school and in your career. «Insider tips» help students better understand their advisors, leading to more productive advisor/student relationships. The importance of sowing well now with good habits and management techniques in order to reap big later is the central focus of the volume.

2377.9 РУБ

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John Kent T. Geometry Driven Statistics


A timely collection of advanced, original material in the area of statistical methodology motivated by geometric problems, dedicated to the influential work of Kanti V. Mardia This volume celebrates Kanti V. Mardias long and influential career in statistics. A common theme unifying much of Mardia’s work is the importance of geometry in statistics, and to highlight the areas emphasized in his research this book brings together 16 contributions from high-profile researchers in the field. Geometry Driven Statistics covers a wide range of application areas including directional data, shape analysis, spatial data, climate science, fingerprints, image analysis, computer vision and bioinformatics. The book will appeal to statisticians and others with an interest in data motivated by geometric considerations. Summarizing the state of the art, examining some new developments and presenting a vision for the future, Geometry Driven Statistics will enable the reader to broaden knowledge of important research areas in statistics and gain a new appreciation of the work and influence of Kanti V. Mardia.

9218.91 РУБ

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Willems Mo We Are in a Book!


Gerald is careful. Piggie is not. Piggie cannot help smiling. Gerald can. Gerald and Piggie are best friends. In We Are in a Book! Gerald and Piggie discover the joy of being read. But what will happen when the book ends? Using vocabulary perfect for beginning readers (and vetted by an early-learning specialist), Mo Willems has crafted a mind-bending story that is even more interactive than previous Elephant & Piggie adventures. Fans of the Geisel Award-winning duo wont be able to put this book down--literally!

1206 РУБ

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Daniel Denis J. Applied Univariate, Bivariate, and Multivariate Statistics


A clear and efficient balance between theory and application of statistical modeling techniques in the social and behavioral sciences Written as a general and accessible introduction, Applied Univariate, Bivariate, and Multivariate Statistics provides an overview of statistical modeling techniques used in fields in the social and behavioral sciences. Blending statistical theory and methodology, the book surveys both the technical and theoretical aspects of good data analysis. Featuring applied resources at various levels, the book includes statistical techniques such as t-tests and correlation as well as more advanced procedures such as MANOVA, factor analysis, and structural equation modeling. To promote a more in-depth interpretation of statistical techniques across the sciences, the book surveys some of the technical arguments underlying formulas and equations. Applied Univariate, Bivariate, and Multivariate Statistics also features Demonstrations of statistical techniques using software packages such as R and SPSS® Examples of hypothetical and real data with subsequent statistical analyses Historical and philosophical insights into many of the techniques used in modern social science A companion website that includes further instructional details, additional data sets, solutions to selected exercises, and multiple programming options An ideal textbook for courses in statistics and methodology at the upper- undergraduate and graduate-levels in psychology, political science, biology, sociology, education, economics, communications, law, and survey research, Applied Univariate, Bivariate, and Multivariate Statistics is also a useful reference for practitioners and researchers in their field of application. DANIEL J. DENIS, PhD, is Associate Professor of Quantitative Psychology at the University of Montana where he teaches courses in univariate and multivariate statistics. He has published a number of articles in peer-reviewed journals and has served as consultant to researchers and practitioners in a variety of fields.

9987.88 РУБ

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Deborah Rumsey J. Statistics Essentials For Dummies


Statistics Essentials For Dummies not only provides students enrolled in Statistics I with an excellent high-level overview of key concepts, but it also serves as a reference or refresher for students in upper-level statistics courses. Free of review and ramp-up material, Statistics Essentials For Dummies sticks to the point, with content focused on key course topics only. It provides discrete explanations of essential concepts taught in a typical first semester college-level statistics course, from odds and error margins to confidence intervals and conclusions. This guide is also a perfect reference for parents who need to review critical statistics concepts as they help high school students with homework assignments, as well as for adult learners headed back into the classroom who just need a refresher of the core concepts. The Essentials For Dummies Series Dummies is proud to present our new series, The Essentials For Dummies. Now students who are prepping for exams, preparing to study new material, or who just need a refresher can have a concise, easy-to-understand review guide that covers an entire course by concentrating solely on the most important concepts. From algebra and chemistry to grammar and Spanish, our expert authors focus on the skills students most need to succeed in a subject.

659.87 РУБ

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Rogers L., Willoughby D. Numbers Data and statistics for the non-specialist

Rob ONeill A Practical Introduction to Index Numbers


This book provides an introduction to index numbers for statisticians, economists and numerate members of the public. It covers the essential basics, mixing theoretical aspects with practical techniques to give a balanced and accessible introduction to the subject. The concepts are illustrated by exploring the construction and use of the Consumer Prices Index which is arguably the most important of all official statistics in the UK. The book also considers current issues and developments in the field including the use of large-scale price transaction data. A Practical Introduction to Index Numbers will be the ideal accompaniment for students taking the index number components of the Royal Statistical Society Ordinary and Higher Certificate exams; it provides suggested routes through the book for students, and sets of exercises with solutions.

3457.82 РУБ

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Belinda Barton Medical Statistics. A Guide to SPSS, Data Analysis and Critical Appraisal


Medical Statistics provides the necessary statistical tools to enable researchers to undertake and understand evidence-based clinical research. It is a practical guide to conducting statistical research and interpreting statistics in the context of how the participants were recruited, how the study was designed, what types of variables were used, what effect size was found, and what the P values mean. It guides researchers through the process of selecting the correct statistics and show how to best report results for presentation and publication. Clear and concise explanations, combined with plenty of examples and tabulated explanations are based on the authors’ popular medical statistics courses. The table of contents is divided into sections according to whether data are continuous or categorical in nature as this distinction is fundamental to selecting the correct statistics. Each chapter provides a clear step-by-step guide to each statistical test with practical instructions on how to generate and interpret the numbers, and present the results as scientific tables or graphs. The chapters conclude with critical appraisal guidelines to help researchers review the reporting of results from each type of statistical test. This new edition includes a new chapter on repeated measures and mixed models and a helpful glossary of terms provides an easy reference that applies to all chapters.

5758.18 РУБ

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Peppas New Friend


A new friend is starting at Peppa and Georges playgroup - Gerald Giraffe! Hes much taller than all the other children, so playing hide and seek isnt much fun. Poor Gerald cant find anywhere to hide! Being different to the other children makes Gerald feel a little bit sad, until a ball, a toy monkey and even a tortoise get stuck in a tree. Gerald is the only one who can reach them because hes so tall. Being different isnt so bad after all!

670 РУБ

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Peter C. Bruce Introductory Statistics and Analytics. A Resampling Perspective


Concise, thoroughly class-tested primer that features basic statistical concepts in the concepts in the context of analytics, resampling, and the bootstrap A uniquely developed presentation of key statistical topics, Introductory Statistics and Analytics: A Resampling Perspective provides an accessible approach to statistical analytics, resampling, and the bootstrap for readers with various levels of exposure to basic probability and statistics. Originally class-tested at one of the first online learning companies in the discipline, www.statistics.com, the book primarily focuses on applications of statistical concepts developed via resampling, with a background discussion of mathematical theory. This feature stresses statistical literacy and understanding, which demonstrates the fundamental basis for statistical inference and demystifies traditional formulas. The book begins with illustrations that have the essential statistical topics interwoven throughout before moving on to demonstrate the proper design of studies. Meeting all of the Guidelines for Assessment and Instruction in Statistics Education (GAISE) requirements for an introductory statistics course, Introductory Statistics and Analytics: A Resampling Perspective also includes: Over 300 “Try It Yourself” exercises and intermittent practice questions, which challenge readers at multiple levels to investigate and explore key statistical concepts Numerous interactive links designed to provide solutions to exercises and further information on crucial concepts Linkages that connect statistics to the rapidly growing field of data science Multiple discussions of various software systems, such as Microsoft Office Excel®, StatCrunch, and R, to develop and analyze data Areas of concern and/or contrasting points-of-view indicated through the use of “Caution” icons Introductory Statistics and Analytics: A Resampling Perspective is an excellent primary textbook for courses in preliminary statistics as well as a supplement for courses in upper-level statistics and related fields, such as biostatistics and econometrics. The book is also a general reference for readers interested in revisiting the value of statistics.

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…this edition is useful and effective in teaching Bayesian inference at both elementary and intermediate levels. It is a well-written book on elementary Bayesian inference, and the material is easily accessible. It is both concise and timely, and provides a good collection of overviews and reviews of important tools used in Bayesian statistical methods. There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most introductory statistics texts only present frequentist methods. Bayesian statistics has many important advantages that students should learn about if they are going into fields where statistics will be used. In this third Edition, four newly-added chapters address topics that reflect the rapid advances in the field of Bayesian statistics. The authors continue to provide a Bayesian treatment of introductory statistical topics, such as scientific data gathering, discrete random variables, robust Bayesian methods, and Bayesian approaches to inference for discrete random variables, binomial proportions, Poisson, and normal means, and simple linear regression. In addition, more advanced topics in the field are presented in four new chapters: Bayesian inference for a normal with unknown mean and variance; Bayesian inference for a Multivariate Normal mean vector; Bayesian inference for the Multiple Linear Regression Model; and Computational Bayesian Statistics including Markov Chain Monte Carlo. The inclusion of these topics will facilitate readers ability to advance from a minimal understanding of Statistics to the ability to tackle topics in more applied, advanced level books. Minitab macros and R functions are available on the books related website to assist with chapter exercises. Introduction to Bayesian Statistics, Third Edition also features: Topics including the Joint Likelihood function and inference using independent Jeffreys priors and join conjugate prior The cutting-edge topic of computational Bayesian Statistics in a new chapter, with a unique focus on Markov Chain Monte Carlo methods Exercises throughout the book that have been updated to reflect new applications and the latest software applications Detailed appendices that guide readers through the use of R and Minitab software for Bayesian analysis and Monte Carlo simulations, with all related macros available on the books website Introduction to Bayesian Statistics, Third Edition is a textbook for upper-undergraduate or first-year graduate level courses on introductory statistics course with a Bayesian emphasis. It can also be used as a reference work for statisticians who require a working knowledge of Bayesian statistics.

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Helen Woolnough M. Mentoring in Nursing and Healthcare. Supporting Career Personal Development


Mentoring in Nursing and Healthcare: Supporting career and personal development is an innovative look into mentoring within nursing, and its implications for career success. It provides an up-to-date review of the current research and literature within mentoring in nursing and healthcare, drawing together the distinctive challenges facing nurses and their career development. It proposes new directions and practical ways forward for the future development of formal mentoring programmes in nursing. Offering fresh insight into mentoring principles and how these can be used beyond pre-registration nurse education to support personal career development. This is an essential book for all those commencing, continuing or returning to a nursing career. Key features: Addresses mentoring as a career development tool Focuses on the individual benefits of being a mentee and mentor and how this can aid professional development Both theoretical and practical material is presented Features case studies throughout book Supports nurses to develop their careers It is sector specific but has transferability across disciplines A summary chapter draws together common threads or theoretical perspectives. The book concludes with strategies for future research and progress

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Shelemyahu Zacks Examples and Problems in Mathematical Statistics


Provides the necessary skills to solve problems in mathematical statistics through theory, concrete examples, and exercises With a clear and detailed approach to the fundamentals of statistical theory, Examples and Problems in Mathematical Statistics uniquely bridges the gap between theory andapplication and presents numerous problem-solving examples that illustrate the relatednotations and proven results. Written by an established authority in probability and mathematical statistics, each chapter begins with a theoretical presentation to introduce both the topic and the important results in an effort to aid in overall comprehension. Examples are then provided, followed by problems, and finally, solutions to some of the earlier problems. In addition, Examples and Problems in Mathematical Statistics features: Over 160 practical and interesting real-world examples from a variety of fields including engineering, mathematics, and statistics to help readers become proficient in theoretical problem solving More than 430 unique exercises with select solutions Key statistical inference topics, such as probability theory, statistical distributions, sufficient statistics, information in samples, testing statistical hypotheses, statistical estimation, confidence and tolerance intervals, large sample theory, and Bayesian analysis Recommended for graduate-level courses in probability and statistical inference, Examples and Problems in Mathematical Statistics is also an ideal reference for applied statisticians and researchers.

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David Conley T. College and Career Ready. Helping All Students Succeed Beyond High School


Giving students the tools they need to succeed in college and work College and Career Ready offers educators a blueprint for improving high school so that more students are able to excel in freshman-level college courses or entry-level jobs-laying a solid foundation for lifelong growth and success. The book is filled with detailed, practical guidelines and case descriptions of what the best high schools are doing. Includes clear guidelines for high school faculty to adapt their programs of instruction in the direction of enhanced college/career readiness Provides practical strategies for improving students content knowledge and academic behaviors Offers examples of best practices and research-based recommendations for change The book considers the impact of behavioral issues-such as time management and study habits-as well as academic skills on college readiness.

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Thomas Snyder The Community College Career Track. How to Achieve the American Dream without a Mountain of Debt


Get a good education without massive debt, and enter a field thats actually hiring In coming years, millions of great jobs will be opening up in growth areas like advanced manufacturing, biotechnology, health care, information technology, and sustainable energy. These jobs can pay as well as, or much better than, the average income for four-year college graduates. They generally offer high levels of day-to-day satisfaction. And the path to all of them begins in the community colleges. In The Community College Career Track, Tom Snyder gives young people and their parents, as well as mid-life career changers, a practical, inspiring guide to taking that path and completing it successfully. The old model of a bachelors degree leading to a good job and career has broken down for large numbers of young people, many of whom graduate college only to work in a career that doesnt require a degree. Meanwhile, millions of productive American white collar and blue-collar workers have been laid off and need retraining for second careers. This book helps you find a new way forward. Offers insights on how to save money over a lifetime through an affordable college education that provides high-paying jobs Author Tom Snyder is the president of Ivy Tech Community College, Indianas statewide community college system and the largest singly accredited community college system in the country Author Tom Snyder has confronted the education-jobs mismatch from both sides, first as a highly successful business executive and now as an award-winning educator. Follow his efficient, affordable, and rewarding path to a great career and a satisfying life.

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David Bowie / A New Career In Town 1977-1982


Track Listing - Disc 1 - Speed of Life Breaking Glass What in the World Sound and Vision Always Crashing in the Same Car Be My Wife A New Career in a New Town Warszawa...

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David Machin Medical Statistics. A Textbook for the Health Sciences


Provides students and practitioners with a clear, concise introduction to the statistics they will come across in their regular reading of clinical papers. Written by three experts with wide teaching and consulting experience, Medical Statistics: A Textbook for the Health Sciences, Fourth Edition: Assumes no prior knowledge of statistics Covers all essential statistical methods Completely revised, updated and expanded Includes numerous examples and exercises on the interpretation of the statistics in papers published in medical journals From the reviews of the previous edition: «The book has several excellent features: it is written by statisticians, is.... well presented, is well referenced.... and is short.» THE LANCET «Many statisticians are concerned at the generally poor standard of statistics in papers published in medical journals. Perhaps this could be remedied if more research workers would spare a few hours to read through Campbell and Machins book.» BRITISH MEDICAL JOURNAL «… a simple, interesting and insightful introduction to medical statistics… highly recommended.» STATISTICAL METHODS IN MEDICAL RESEARCH «Campbell and Machin found the golden mean… this book can be recommended for all students and all medical researchers.» ISCB NEWSLETTER

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Malcolm L. Hunter Saving the Earth as a Career. Advice on Becoming Conservation Professional


Written in an informal and engaging style, Saving the Earth as a Career is an ideal resource for students and professionals pursuing a career in conservation. The book explores the major skills needed to become an effective conservation professional by offering useful advice on a range of topics. Chapters include: Is this the right career for you? Designing a program of study Designing and executing a project Attending conferences and making presentations Writing papers Finding a job Making a difference Saving the Earth as a Career 2e is a friendly, accessible guide with a global perspective for anyone interested in becoming a conservation or environmental professional, and teachers will find this an invaluable resource for university students at all levels.

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