Last edited by Vizil
Tuesday, May 5, 2020 | History

5 edition of Statistics in the computer age found in the catalog.

Statistics in the computer age

J. M. Craddock

Statistics in the computer age

by J. M. Craddock

  • 207 Want to read
  • 27 Currently reading

Published by American Elsevier Pub. Co. in New York .
Written in English

    Subjects:
  • Mathematical statistics,
  • Probabilities

  • Edition Notes

    Bibliography: p. [210]-211.

    Statement[by] J. M. Craddock.
    SeriesNew science series
    Classifications
    LC ClassificationsQA276 .C7 1969
    The Physical Object
    Paginationx, 214 p.
    Number of Pages214
    ID Numbers
    Open LibraryOL5684270M
    LC Control Number69015956

    The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce/10(22). ♥ Book Title: Computer Age Statistical Inference ♣ Name Author: Bradley Efron ∞ Launching: Info ISBN Link: ⊗ Detail ISBN code: ⊕ Number Pages: Total sheet ♮ News id: Sj1yDAAAQBAJ Download File Start Reading ☯ Full Synopsis: "Take an exhilarating journey through the modern revolution in statistics with two of the ringleaders.

      Most of our familiar statistical methods, such as hypothesis testing, linear regression, analysis of variance, and maximum likelihood estimation, were designed to be implemented on mechanical calculators. Modern electronic computation has encouraged a host of new statistical methods that require fewer distributional assumptions than their predecessors and can be applied to more Cited by: Computer age statistical inference focuses a lot on history and philosophy, specifically on putting methods into categories (this method counts as frequentist while this one counts as fisherian). I found this somewhat interesting, but it was kind of over emphasized.

    Search the world's most comprehensive index of full-text books. My library. Computer Age Statistical Inference – now free Blog, Statistics and Econometrics Posted on 06/05/ If you consider yourself Econometrician\Statistician or one of those numerous buzz word synonyms that are floating around these days, Computer Age Statistical Inference: Algorithms, Evidence and Data Science by Bradley Efron and Trevor Hastie.


Share this book
You might also like
Meeting the Collaboration Challenge, Leaders Package (includes a video, workbook, and The Collaboration Challenge)

Meeting the Collaboration Challenge, Leaders Package (includes a video, workbook, and The Collaboration Challenge)

Dynamics of violence.

Dynamics of violence.

Sears New teeth for old

Sears New teeth for old

Internal stages of bulb development.

Internal stages of bulb development.

Solicitors remuneration in Ireland

Solicitors remuneration in Ireland

Biological stream characterization (BSC)

Biological stream characterization (BSC)

Southern schools

Southern schools

World place location learning system

World place location learning system

Auditing research symposium

Auditing research symposium

Philippine diplomacy in the 21st century

Philippine diplomacy in the 21st century

Environmental education center

Environmental education center

Other backward classes in India

Other backward classes in India

Spiritual Art (Produced) from Within

Spiritual Art (Produced) from Within

Statistics in the computer age by J. M. Craddock Download PDF EPUB FB2

"Computer Age Statistical Inference offers a refreshing view of modern statistics. Algorithmics are put on equal footing with intuition, properties, and the abstract arguments behind them.

The methods covered are indispensable to practicing statistical analysts in today's big data and big computing landscape.".Cited by: Computer Age Statistical Inference: Algorithms, Evidence and Data Science.

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'My take on Computer Age Statistical Inference is that experienced statisticians will find it helpful to have such a compact summary of twentieth-century statistics, even if they occasionally disagree with the book's emphasis; students beginning the study of statistics will value the book as a guide to statistical inference that may offset the dangerously mind-numbing experience offered by most introductory statistics textbooks; and the rest of us non-experts interested Brand: Cambridge University Press.

Stephen Stigler, University of Chicago, and author of Seven Pillars of Statistical Wisdom. "Computer Age Statistical Inference offers a refreshing view of modern statistics. Algorithmics are put on equal footing with intuition, properties, and the abstract arguments behind them/5(28). Additional Physical Format: Online version: Craddock, J.M.

Statistics in the computer age. New York, American Elsevier Pub. Co., Statistics in the computer age book ISBN: OCLC Number: Description: x, pages: illustrations ; 21 cm: Contents: 1. Introduction--The science of statistics--The impact of the computer The historical background Descriptive statistics--Units, charts, diagrams and calculations Probability and randomness--Mathematical probability--Populations and samples--The probability generating.

'Computer Age Statistical Inference gives a lucid guide to modern statistical inference for estimation, hypothesis testing, and prediction.

The book seamlessly integrates statistical thinking with computational thinking, while covering a broad range of powerful algorithms for learning from by: Computer Age Statistical Inference: Algorithms, Evidence, and Data Science September fiThis is a terri˜c book.

It gives a clear, accessible, and entertaining account of the interplay between theory and methodological development that has driven statistics in the computer age. The authors succeed brilliantly in locating contemporary algorithmic methodologies for analysis of ‚big data™ within the framework of.

'This unusual book describes the nature of statistics by displaying multiple examples of the way the field has evolved over the past sixty years, as it has adapted to the rapid increase in available computing power/5(25).

Carl Morris, Harvard University, Massachusetts "Computer Age Statistical Inference gives a lucid guide to modern statistical inference for estimation, hypothesis testing, and prediction.

The book seamlessly integrates statistical thinking with computational thinking, while covering a broad range of powerful algorithms for learning from data/5(81). Part II Early Computer Age Methods 73 6 Empirical Bayes 75 Robbins' Formula 75 The Missing-Species Problem 78 A Medical Example 84 Indirect Evidence 1 88 Notes and Details 88 7 James-Stein Estimation and Ridge Regression 91 The File Size: KB.

The book, from Cambridge U press, is also very well produc Two experts from Stanford have written a great historical/philosophical/mathematical overview of modern statistics that compares and contrasts frequentist, Bayesian and computer intensive algorithmic approaches to data analysis/5.

Carl Morris, Harvard University, Massachusetts^"Computer Age Statistical Inference gives a lucid guide to modern statistical inference for estimation, hypothesis testing, and prediction. The book seamlessly integrates statistical thinking with computational thinking, while covering a broad range of powerful algorithms for learning from data/5(26).

My take on Computer Age Statistical Inference is that experienced statisticians will find it helpful to have such a compact summary of twentieth-century statistics, even if they occasionally disagree with the book’s emphasis; students beginning the study of statistics will value the book as a guide to statistical inference that may offset the dangerously mind-numbing experience offered by most introductory statistics textbooks; and the rest of us non-experts interested.

Buy Computer Age Statistical Inference (Institute of Mathematical Statistics Monographs) by Bradley Efron, Trevor Hastie (ISBN: ) from Amazon's Book Store. Everyday low prices and free delivery on eligible orders/5(26).

Computer Age Statistical Inference: Algorithms, Evidence and Data Science by Bradley Efron and Trevor Hastie is a brilliant read. If you are only ever going to buy one statistics book, or if you are thinking of updating your library and retiring a dozen or so dusty stats texts, this book would be an excellent choice.

Find books like Computer Age Statistical Inference from the world’s largest community of readers. Goodreads members who liked Computer Age Statistical In. “This is a terrific book. It gives a clear, accessible, and entertaining account of the interplay between theory and methodological development that has driven statistics in the computer age.

The authors succeed brilliantly in locating contemporary algorithmic. 'Computer Age Statistical Inference offers a refreshing view of modern statistics. Algorithmics are put on equal footing with intuition, properties, and the abstract arguments behind them.

The methods covered are indispensable to practicing statistical analysts in today's big data and big computing landscape.'/5(26). A new book, Computer Age Statistical Inference: Algorithms, Evidence, and Data Science by Bradley Efron and Trevor Hastie, was released in July this year.I finished reading it a few weeks ago and this is a short review from the point of view of a machine learning researcher.

Living in Cambridge I indulge myself every once in a while by taking a break at the Cambridge University Press bookstore.Statistics and the Computer Lennart Rzide - Gothenburg, Sweden 1. Introduction It is common to describe the impact of the computer on statistics and on the teaching of statistics as a revolution.

"The advent of the computer has certainly revolutionised the practice of statistics." (Speed, ).File Size: KB.Bill Satzer, Mathematical Association of America Reviews 'My take on Computer Age Statistical Inference is that experienced statisticians will find it helpful to have such a compact summary of twentieth-century statistics, even if they occasionally disagree with the book's emphasis; students beginning the study of statistics will value the book /5(26).