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An Introduction to Mathematical Statistics and Its Applications
by
Larsen, Richard
Marx, Morris
(Hardcover - English - 9780134114217)
For courses in Mathematical Statistics br Introducing the principles of statistics and data modeling Introduction to Mathematical Statistics and Its Applications , 6th Edition is a high-level calculus student's first exposure to mathematical statistics. This book provides students who have already taken three or more semesters of calculus with the background to apply statistical principles. Meaty enough to guide a two-semester course, the book touches on both statistics and experimental design, which teaches students various ways to analyze data. It gives computational-minded students a necessary and realistic exposure to identifying data models. ..
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Applied Probability Models with Optimization Applications
by
Ross, Sheldon M.
(Paperback - English - 9780486673141)
A clarity of style and a conciseness of treatment which students will find most welcome. The material is valuable and well organized ... an excellent introduction to applied probability. -- Journal of the American Statistical Association . br This book offers a concise introduction to some of the stochastic processes that frequently arise in applied probability. Emphasis is on optimization models and methods, particularly in the area of decision processes. After reviewing some basic notions of probability theory and stochastic processes, the author presents a useful treatment of the Poisson process, including compound and nonhomogeneous Poisson processes. Subse ..
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The Emergence of Probability: A Philosophical Study of Early Ideas about Probability, Induction and Statistical Inference
by
Hacking, Ian
(Paperback - English - 9780521685573)
Historical records show that there was no real concept of probability in Europe before the mid-seventeenth century, although the use of dice and other randomizing objects was commonplace. Ian Hacking presents a philosophical critique of early ideas about probability, induction, and statistical inference and the growth of this new family of ideas in the fifteenth, sixteenth, and seventeenth centuries. Hacking invokes a wide intellectual framework involving the growth of science, economics, and the theology of the period. He argues that the transformations that made it possible for probability concepts to emerge have constrained all subsequent development of proba ..
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Understanding Basic Statistics, Loose-Leaf Version
by
Brase, Charles Henry
Brase, Corrinne Pellillo
(Loose Leaf - English - 9780357757369)
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Statistics, Loose-Leaf Version
by
Peck, Roxy
(Loose Leaf - English - 9780357758304)
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Causal Inference
by
Rosenbaum, Paul R.
(Paperback - English - 9780262545198)
A nontechnical guide to the basic ideas of modern causal inference, with illustrations from health, the economy, and public policy. Which of two antiviral drugs does the most to save people infected with Ebola virus? Does a daily glass of wine prolong or shorten life? Does winning the lottery make you more or less likely to go bankrupt? How do you identify genes that cause disease? Do unions raise wages? Do some antibiotics have lethal side effects? Does the Earned Income Tax Credit help people enter the workforce? Causal Inference provides a brief and nontechnical introduction to randomized experiments, propensity scores, natural experiments, instrumental v ..
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Population Genomics with R
by
Paradis, Emmanuel
(Paperback - English - 9781032336350)
strong Population Genomics With R strong presents a multidisciplinary approach to the analysis of population genomics. The methods treated cover a large number of topics from traditional population genetics to large-scale genomics with high-throughput sequencing data. Several dozen R packages are examined and integrated to provide a coherent software environment with a wide range of computational, statistical, and graphical tools. Small examples are used to illustrate the basics and published data are used as case studies. Readers are expected to have a basic knowledge of biology, genetics, and statistical inference methods. Graduate students and post-doctora ..
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Introducción a la EstadÃstica
by
Malacrida, Simone
(Paperback - Spanish - 9798215890967)
Todos los temas matemáticos relacionados con la estadÃstica se presentan en este libro: br calculo combinatorio br probabilidad y estadistica elemental br variables aleatorias br distribuciones de probabilidad continuas y discretas br teorÃa de estimación y prueba de hipótesis br regresión e inferencia bayesiana br procesos estocásticos ..
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158.000
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134.000
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Factorization Methods for Discrete Sequential Estimation
by
Bierman, Gerald J.
(Paperback - English - 9780486449814)
This estimation reference text thoroughly describes matrix factorization methods successfully employed by numerical analysts, familiarizing readers with the techniques that lead to efficient, economical, reliable, and flexible estimation algorithms. br Topics include a review of least squares data processing and the Kalman filter algorithm; positive definite matrices, the Cholesky decomposition, and some of their applications; Householder orthogonal transformations; sequential square root data processing; mapping effects and process noise; biases and correlated process noise; and covariance analysis of effects due to mismodeled variables and incorrect filter a p ..
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Introduction to Probability and Statistics
by
Mendenhall, William
Beaver, Robert J.
Beaver, Barbara M.
(Hardcover - English - 9781337554428)
The skill of statistical thinking is increasing in importance in this predominantly data-driven world. With Mendenhall, Beaver and Beaver�s INTRODUCTION TO PROBABILITY AND STATISTICS, 15th Edition, you will be able to describe real sets of data meaningfully, what the statistical tests mean in terms of their practical applications, how to evaluate the validity of the assumptions behind statistical tests, and know what to do when statistical assumptions have been violated. ..
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6.231.000
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5.298.000
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Introducing Statistics: A Graphic Guide
by
Magnello, Eileen
Van Loon, Borin
(Paperback - English - 9781848310568)
From the medicine we take, the treatments we receive, the aptitude and psychometric tests given by employers, the cars we drive, the clothes we wear to even the beer we drink, statistics have given shape to the world we inhabit. For the media, statistics are routinely 'damning', 'horrifying', or, occasionally, 'encouraging'. Yet, for all their ubiquity, most of us really don't know what to make of statistics. Exploring the history, mathematics, philosophy and practical use of statistics, Eileen Magnello - accompanied by Bill Mayblin's intelligent graphic illustration - traces the rise of statistics from the ancient Babylonians, Egyptians and Chinese, to the cens ..
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207.000
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176.000
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A Modern Introduction to Probability and Statistics: Understanding Why and How
by
Dekking, F. M.
Kraaikamp, C.
Lopuhaä, H. P.
(Hardcover - English - 9781852338961)
Probability and Statistics are studied by most science students. Many current texts in the area are just cookbooks and, as a result, students do not know why they perform the methods they are taught, or why the methods work. This book readdresses these shortcomings; by using examples, often from real-life and using real data, the authors show how the fundamentals of probabilistic and statistical theories arise intuitively. There are numerous quick exercises to give direct feedback to students, and over 350 exercises, half of which have answers, of which half have full solutions. A website gives access to the data files used in the text, and, for instructors, the ..
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Introduction to Statistics and Data Analysis
by
Peck, Roxy
Olsen, Chris
Short, Tom
(Hardcover - English - 9781337793612)
Peck, Short, and Olsen�s INTRODUCTION TO STATISTICS AND DATA ANALYSIS, 6th Edition stresses interpretation and communication of statistical information through hands-on, activity based learning using real data in order to get you thinking statistically. This 6th Edition contains new sections on randomization-based inference: bootstrap methods for simulation-based confidence intervals and randomization tests of hypotheses. These new sections are accompanied by online Shiny apps, which can be used to construct bootstrap confidence intervals and to carry out randomization tests. In addition, a new visualization tool at statistics.cengage.com will help you un ..
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Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars
by
Mayo, Deborah G.
(Paperback - English - 9781107664647)
Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, th ..
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877.000
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745.000
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Practice Makes Perfect Statistics
by
McCune, Sandra
(Paperback - English - 9780071638180)
A no-nonsense practical guide to statistics, providing concise summaries, clear model examples, and plenty of practice, making this workbook the ideal complement to class study or self-study, preparation for exams or a brush-up on rusty skills. About the Book br Established as a successful practical workbook series with over 20 titles in the language learning category, Practice Makes Perfect now provides the same clear, concise approach and extensive exercises to key fields within mathematics. The key to the Practice Makes Perfect series is the extensive exercises that provide learners with all the practice they need for mastery. ul li Not focused on any par ..
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351.000
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298.000
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Computational Genomics with R
by
Akalin, Altuna
(Paperback - English - 9780367634605)
Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for ..
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Tree-Based Methods for Statistical Learning in R
by
Greenwell, Brandon M.
(Hardcover - English - 9780367532468)
Tree-based Methods for Statistical Learning in R provides a thorough introduction to both individual decision tree algorithms (Part I) and ensembles thereof (Part II). Partof the book brings several different tree algorithms into focus, both conventional and contemporary. Building a strong foundation for how individual decision trees work will help readers better understand tree-based ensembles at a deeper level, which lie at the cutting edge of modern statistical and machine learning methodology. The book follows up most ideas and mathematical concepts with code-based examples in the R statistical language; with an emphasis on using as few external packages ..
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Control Systems and Reinforcement Learning
by
Meyn, Sean
(Hardcover - English - 9781316511961)
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Dark Data: Why What You Don't Know Matters
by
Hand, David J.
(Paperback - English - 9780691234465)
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Mixed-Mode Official Surveys: Design and Analysis
by
Schouten, Barry
Van Den Brakel, Jan
Buelens, Bart
(Paperback - English - 9781032102962)
Mixed-mode surveys have become a standard at many statistical institutes. However, the introduction of multiple modes in one design goes with challenges to both methodology and logistics. Mode-specific representation and measurement differences become explicit and demand for solutions in data collection design, questionnaire design, and estimation. This is especially true when surveys are repeated and are input to long time series of official statistics. So how can statistical institutes deal with such changes? What are the origins of mode-specific error? And how can they be dealt with? In this book, the authors provide answers to these questions, and much more. ..
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