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Statistical Thinking from Scratch: A Primer for Scientists, Edge M. D.


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Автор: Edge M. D.
Название:  Statistical Thinking from Scratch: A Primer for Scientists
ISBN: 9780198827627
Издательство: Oxford Academ
Издательство: Oxford University Press, USA
Классификация:
ISBN-10: 0198827628
Обложка/Формат: Hardcover
Страницы: 320
Вес: 0.86 кг.
Дата издания: 07.08.2019
Язык: English
Размер: 24.89 x 19.05 x 2.03 cm
Читательская аудитория: General (us: trade)
Подзаголовок: A primer for scientists
Ссылка на Издательство: Link
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Поставляется из: США
Описание: Focuses on detailed instruction in a single statistical technique, simple linear regression (SLR), with the goal of gaining tools, understanding, and intuition that can be applied to other contexts.

The Elements of Statistical Learning

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 69870.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Statistical Rethinking

Автор: McElreath, Richard
Название: Statistical Rethinking
ISBN: 036713991X ISBN-13(EAN): 9780367139919
Издательство: Taylor&Francis
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Цена: 83690.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Statistical Rethinking: A Bayesian Course with Examples in R and Stan, Second Edition builds knowledge/confidence in statistical modeling. Pushes readers to perform step-by-step calculations (usually automated.) Unique, computational approach.

The Rise of Statistical Thinking, 1820-1900

Автор: Porter Theodore M.
Название: The Rise of Statistical Thinking, 1820-1900
ISBN: 0691208425 ISBN-13(EAN): 9780691208428
Издательство: Wiley
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Цена: 29570.00 T
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Описание:

An essential work on the origins of statistics

The Rise of Statistical Thinking, 1820-1900 explores the history of statistics from the field's origins in the nineteenth century through to the factors that produced the burst of modern statistical innovation in the early twentieth century. Theodore Porter shows that statistics was not developed by mathematicians and then applied to the sciences and social sciences. Rather, the field came into being through the efforts of social scientists, who saw a need for statistical tools in their examination of society. Pioneering statistical physicists and biologists James Clerk Maxwell, Ludwig Boltzmann, and Francis Galton introduced statistical models to the sciences by pointing to analogies between their disciplines and the social sciences. A new preface by the author looks at the enduring relevance and significance of the book since its initial publication, and considers the current place of statistics in scientific research.


Statistical thinking in epidemiology

Автор: Tu, Yu-kang Gilthorpe, Mark S. (university Of Leeds, Uk)
Название: Statistical thinking in epidemiology
ISBN: 0367382555 ISBN-13(EAN): 9780367382551
Издательство: Taylor&Francis
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Цена: 65320.00 T
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Описание:

While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not always have sufficient knowledge to choose the appropriate statistical methods and correctly interpret their results. Statistical Thinking in Epidemiology examines common methodological and statistical problems in the use of correlation and regression in medical and epidemiological research: mathematical coupling, regression to the mean, collinearity, the reversal paradox, and statistical interaction.

Statistical Thinking in Epidemiology is about thinking statistically when looking at problems in epidemiology. The authors focus on several methods and look at them in detail: specific examples in epidemiology illustrate how different model specifications can imply different causal relationships amongst variables, and model interpretation is undertaken with appropriate consideration of the context of implicit or explicit causal relationships. This book is intended for applied statisticians and epidemiologists, but can also be very useful for clinical and applied health researchers who want to have a better understanding of statistical thinking.

Throughout the book, statistical software packages R and Stata are used for general statistical modeling, and Amos and Mplus are used for structural equation modeling.


Statistical Thinking in Sports

Название: Statistical Thinking in Sports
ISBN: 0367388855 ISBN-13(EAN): 9780367388850
Издательство: Taylor&Francis
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Цена: 65320.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Since the first athletic events found a fan base, sports and statistics have always maintained a tight and at times mythical relationship. As a way to relay the telling of a game's drama and attest to the prodigious powers of the heroes involved, those reporting on the games tallied up the numbers that they believe best described the action and best defined the winning edge. However, they may not have always counted the right numbers. Many of our hallowed beliefs about sports statistics have long been fraught with misnomers. Whether it concerns Scottish football or American baseball, the most revered statistics often have little to do with any winning edge.

Covering an international collection of sports, Statistical Thinking in Sports provides an accessible survey of current research in statistics and sports, written by experts from a variety of arenas. Rather than rely on casual observation, they apply the rigorous tools of statistics to re-examine many of those concepts that have gone from belief to fact, based mostly on the repetition of their claims. Leaving assumption behind, these researchers take on a host of tough questions-

  • Is a tennis player only as good as his or her first serve?
  • Is there such a thing as home field advantage?
  • Do concerns over a decline in soccer's competitive balance have any merit?
  • What of momentum-is its staying power any greater than yesterday's win?
  • And what of pressure performers? Are there such creatures or ultimately, does every performer fall back to his or her established normative?

    Investigating a wide range of international team and individual sports, the book considers the ability to make predictions, define trends, and measure any number of influences. It is full of interesting and useful examples for those teaching introductory statistics. Although the articles are aimed at general readers, the serious researcher in sports statistics will also find t


  • Statistical Thinking through Media Examples

    Автор: Donoghue Anthony
    Название: Statistical Thinking through Media Examples
    ISBN: 1516565533 ISBN-13(EAN): 9781516565535
    Издательство: Mare Nostrum (Eurospan)
    Рейтинг:
    Цена: 69350.00 T
    Наличие на складе: Поставка под заказ.
    Описание: Statistical Thinking through Media Examples uses real-world examples from various media to give students an introduction to fundamentals of statistical thinking. Unlike many standard texts in the discipline, the book focuses on conceptual understanding – the meaning behind mathematical calculations rather than the calculations themselves. Written in accessible language, the book begins by discussing the importance of learning how to assess the quality of research results presented by the media. This understanding creates an essential context for subsequent chapters on questioning study design including polls and surveys, reasoning with variation in data measurements, understanding probability, confidence intervals, hypothesis testing, and linear regression. Students also learn how statistics can be misused and manipulated by researchers to provide a desired result. The second edition features new coverage of select topics, including ANOVA, Chi-Square tests, and multiple linear regression. Every chapter references online resources or includes in-depth discussion to draw connections between statistical concepts and media examples, such as studies on alcohol consumption and cardiovascular health, American football and brain injury, public mass shootings, dishonesty in scientific research, and more. Statistical Thinking through Media Examples is an ideal resource for any course that deals with introductory statistics, particularly those in the health and social sciences, journalism, and business.

    Statistical Thinking from Scratch

    Автор: Edge M D
    Название: Statistical Thinking from Scratch
    ISBN: 0198827636 ISBN-13(EAN): 9780198827634
    Издательство: Oxford Academ
    Рейтинг:
    Цена: 47510.00 T
    Наличие на складе: Есть у поставщика Поставка под заказ.
    Описание: Focuses on detailed instruction in a single statistical technique, simple linear regression (SLR), with the goal of gaining tools, understanding, and intuition that can be applied to other contexts.

    Statistical methods for climate scientists /

    Автор: DelSole, Timothy,
    Название: Statistical methods for climate scientists /
    ISBN: 1108472419 ISBN-13(EAN): 9781108472418
    Издательство: Cambridge Academ
    Рейтинг:
    Цена: 60190.00 T
    Наличие на складе: Есть у поставщика Поставка под заказ.
    Описание: An introduction to the most commonly used statistical methods in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, with statistical and scientific concepts explained as needed. Requiring no previous background in statistics, it is an accessible reference for students in the climate sciences.

    Introduction To Probability And Statistics For Engineers And Scientists

    Автор: Ross, Sheldon M.
    Название: Introduction To Probability And Statistics For Engineers And Scientists
    ISBN: 0128243465 ISBN-13(EAN): 9780128243466
    Издательство: Elsevier Science
    Рейтинг:
    Цена: 110030.00 T
    Наличие на складе: Есть у поставщика Поставка под заказ.
    Описание: Letter Jam is a 2-6 player cooperative word game where players assist each other in composing meaningful words from letters around the table. The trick is holding the letter card so that it`s only visible to other players and not to you.At the start of the game, each player receives a set of face-down letter cards that can be arranged to form an existing word. The setup can be prepared by using a special card scanning app, or by players selecting words for each other. Each player then puts their first card in their stand facing the other players without looking at it, and the game begins.The game is played in turns. Each turn, players simultaneously search other players` letters to see what words they can spell out (telling the others the length of the word they can make up). The player who offers the longest word can then be chosen as the clue giver.The clue giver spells out their clue by putting numbered tokens in front of the other players. Number one goes to the player whose letter comes first in the clue, number two to the second letter etc. They can always use a wild card which can be any letter, but they cannot tell others which letter it represents.Each player with a numbered token (or tokens) in front of them then tries to figure out what their letter is. If they do, they place the card face down before revealing the next letter. At the end of the game, players can then rearrange the cards to try to form an existing word. All players then reveal their cards to see if they were successful or not. The more players who have an existing word in front of them, the bigger their common success.

    Statistical Inference for Engineers and Data Scientists

    Автор: Moulin Pierre
    Название: Statistical Inference for Engineers and Data Scientists
    ISBN: 1107185920 ISBN-13(EAN): 9781107185920
    Издательство: Cambridge Academ
    Рейтинг:
    Цена: 67590.00 T
    Наличие на складе: Есть у поставщика Поставка под заказ.
    Описание: An up-to-date and mathematically accessible introduction to the tools needed to address modern inference problems in engineering and data science. Richly illustrated with examples and exercises connecting the theory with practice, it is the `go to` guide for students studying the topic, and an excellent reference for researchers and practitioners.

    Statistical Methods for Engineers and Scientists

    Автор: Bethea, Robert M.
    Название: Statistical Methods for Engineers and Scientists
    ISBN: 0367401827 ISBN-13(EAN): 9780367401825
    Издательство: Taylor&Francis
    Рейтинг:
    Цена: 65320.00 T
    Наличие на складе: Есть у поставщика Поставка под заказ.
    Описание: This work details the fundamentals of applied statistics and experimental design, presenting a unified approach to data handling that emphasizes the analysis of variance, regression analysis and the use of Statistical Analysis System computer programs. This edition: discusses modern nonparametric methods; contains information on statistical process control and reliability; supplies fault and event trees; furnishes numerous additional end-of-chapter problems and worked examples; and more.


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