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Category: Statistics

Beginning Statistics with Data Analysis (Dover Books on Mathematics)

By Frederick Mosteller, Stephen E. Fienberg

This advent to the realm of records attracts examples from a huge variety of purposes, together with company, executive, drugs, social sciences, biology, and way of life. the 1st 4 chapters current a short path in exploratory info research. The authors position certain emphasis on equipment for gathering facts and supply an straightforward remedy of a number of regression. A concluding bankruptcy at the layout of comparative experiments hyperlinks the elemental rules of layout to formerly mentioned equipment of research. every one bankruptcy and part concludes with evaluation difficulties. compatible for undergraduate scholars, the textual content calls for just one 12 months of highschool algebra.
This authoritative remedy used to be co-written through Frederick Mosteller, one of many 20th century's preeminent statisticians and the founding chairman of Harvard's division of records, and Stephen Fienberg, a pacesetter of data departments on the collage of Minnesota and Carnegie Mellon college and who's the world over identified for leading edge statistical examine and its software to social technology and public policy.

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Statistics for Spatial Data

The 1st useful examine spatial statistics for the scientist and engineer. Designed for the medical and engineering expert desirous to make the most its huge, immense power, statistics for Spatial facts is a primer to the idea in addition to the nuts-and-bolts of this influential approach. concentrating on the 3 parts of geostatistical info, lattice facts, and aspect styles, the e-book sheds mild at the hyperlink among information and version, and divulges how spatial statistical types can be utilized to unravel a number of difficulties in technology and engineering. Revised to mirror state of the art advancements, this version additionally good points many special examples, a number of illustrations, and over 1,000 references. the 1st absolutely finished advent, information for Spatial facts is a vital consultant for execs in biology, earth technology, civil, electric, and agricultural engineering, geography, epidemiology, and ecology. "This very good e-book, which offers an important branches of contemporary spatial statistics in an exemplary demeanour, becomes a uncomplicated reference ebook and should popularize many equipment which were used earlier simply by means of small circles of specialists." -Mathematical studies "The majority of geoscientists should still ascertain they've got entry to this quantity, whereas should you are actively all for utilising statistical ways to facts (of all types) this e-book will be of their own libraries. As a compendium of statistical tactics to exploit to investigate info, this quantity would definitely offer a very good reliable framework for it slow to come." -Geophysics

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Introductory Statistics

By Prem S. Mann

Introductory information, eighth Edition is written for a one or semester first path in utilized information and is meant for college kids who should not have a robust heritage in arithmetic. the one prerequisite is wisdom of ordinary algebra. Introductory statistics, eighth Edition is understood for its lifelike examples and routines, readability and brevity of presentation, and soundness of pedagogical method. Case stories seem in just about all chapters to supply extra illustrations of the functions of facts in study and statistical research and the textual content encompasses a wealth of examples that disguise a large choice of appropriate statistical issues.

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Probability and Information: An Integrated Approach

By David Applebaum

This new and up-to-date textbook is a superb approach to introduce likelihood and knowledge conception to scholars new to arithmetic, computing device technological know-how, engineering, facts, economics, or enterprise stories. in basic terms requiring wisdom of easy calculus, it starts via development a transparent and systematic starting place to likelihood and data. vintage issues coated contain discrete and non-stop random variables, entropy and mutual info, greatest entropy equipment, the important restrict theorem and the coding and transmission of knowledge. Newly lined for this version is smooth fabric on Markov chains and their entropy. Examples and routines are incorporated to demonstrate the best way to use the speculation in quite a lot of purposes, with particular suggestions to such a lot workouts to be had on-line for teachers.

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Understanding Statistics in the Behavioral Sciences, 10th Edition

By Robert R. Pagano

According to over 30 years of winning educating event during this path, Robert Pagano's introductory textual content takes an intuitive, concepts-based method of descriptive and inferential records. He makes use of the signal try out to introduce inferential information, empirically derived sampling distributions, many visible aids, and many fascinating examples to advertise reader figuring out. one of many hallmarks of this article is the confident suggestions from users--even these now not mathematically vulnerable compliment the textual content for its readability, specified presentation, and use of humor to assist make options obtainable and noteworthy. Thorough motives precede the advent of each formulation, and the routines that instantly persist with contain a step by step version that shall we readers evaluate their paintings opposed to absolutely solved examples. this mix makes the textual content ideal for a person development their beginning of information for interpreting data in psychology or different social and behavioral sciences.

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Statistics Demystified: A Self-Teaching Guide

By Stan Gibilisco

Well known science/hobbyist author Stan Gibilisco covers each vital element of easy (algebra-based) facts, together with: notation and jargon, describing, tables, graphs, randomness and uncertainty, likelihood ideas, distributions, acquiring and analyzing facts, correlation, causation, and extra. You'll have the ability to research extra in much less time, assessment your components of power and weak spot and strengthen your wisdom and self belief.

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Practical Data Science with R

By Nina Zumel, John Mount

Summary

Practical info technological know-how with R lives as much as its identify. It explains uncomplicated ideas with no the theoretical mumbo-jumbo and jumps correct to the genuine use situations you will face as you gather, curate, and research the knowledge an important to the good fortune of your enterprise. you will practice the R programming language and statistical research innovations to rigorously defined examples dependent in advertising, company intelligence, and selection support.

Purchase of the print publication encompasses a loose book in PDF, Kindle, and ePub codecs from Manning Publications.

About the Book

Business analysts and builders are more and more gathering, curating, reading, and reporting on an important company info. The R language and its linked instruments offer an easy approach to take on daily info technological know-how initiatives and not using a lot of educational idea or complicated mathematics.

Practical facts technological know-how with R exhibits you the way to use the R programming language and precious statistical options to daily enterprise events. utilizing examples from advertising and marketing, company intelligence, and choice help, it indicates you the way to layout experiments (such as A/B tests), construct predictive versions, and current effects to audiences of all levels.

This publication is available to readers with out a history in info technology. a few familiarity with easy facts, R, or one other scripting language is assumed.

What's Inside

  • Data technology for the enterprise professional
  • Statistical research utilizing the R language
  • Project lifecycle, from making plans to delivery
  • Numerous immediately ordinary use cases
  • Keys to potent info presentations

About the Authors

Nina Zumel and John Mount are cofounders of a San Francisco-based information technological know-how consulting enterprise. either carry PhDs from Carnegie Mellon and weblog on records, chance, and machine technological know-how at win-vector.com.

Table of Contents

    PART 1 advent TO information SCIENCE
  1. The information technological know-how process
  2. Loading info into R
  3. Exploring data
  4. Managing data
  5. PART 2 MODELING METHODS
  6. Choosing and comparing models
  7. Memorization methods
  8. Linear and logistic regression
  9. Unsupervised methods
  10. Exploring complicated methods
  11. PART three offering RESULTS
  12. Documentation and deployment
  13. Producing potent presentations

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NIST Handbook of Mathematical Functions Paperback and CD-ROM

Glossy advancements in theoretical and utilized technology depend upon wisdom of the homes of mathematical capabilities, from effortless trigonometric capabilities to the multitude of distinctive capabilities. those services look each time typical phenomena are studied, engineering difficulties are formulated, and numerical simulations are played. in addition they crop up in information, monetary types, and fiscal research. utilizing them successfully calls for practitioners to have prepared entry to a competent selection of their houses. This instruction manual effects from a 10-year undertaking carried out by way of the nationwide Institute of criteria and expertise with a world team of specialist authors and validators. revealed in complete colour, it really is destined to interchange its predecessor, the vintage yet long-outdated instruction manual of Mathematical features, edited via Abramowitz and Stegun. incorporated with each reproduction of the publication is a CD with a searchable PDF of every bankruptcy.

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5 Steps to a 5 AP Statistics 2016 (5 Steps to a 5 on the Advanced Placement Examinations Series)

Get prepared to your AP information examination with this simple, easy-to-follow learn guide―updated for all of the most recent examination changes

5 Steps to a five: AP Statistics positive factors an efficient, 5-step plan to lead your practise application and assist you construct the abilities, wisdom, and test-taking self belief you must be triumphant. This totally revised version covers the newest path syllabus and suits the most recent exam.

The booklet offers entry to McGraw-Hill Education’s interactive AP Planner app, in order to make it easier to obtain a customizable research time table in your cellular device.

  • Bonus app positive aspects day-by-day task notifications, plus additional perform inquiries to check try out readiness
  • 3 entire perform AP information checks
  • 3 separate research plans to suit your studying style

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The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy

By Sharon Bertsch McGrayne

Drawing on fundamental resource fabric and interviews with statisticians and different scientists, "The idea that may now not Die" is the riveting account of ways a likely uncomplicated theorem ignited one of many maximum medical controversies of all time. Bayes' rule seems to be an easy, one-line theorem: through updating our preliminary ideals with goal new info, we get a brand new and greater trust. To its adherents, it's a chic assertion approximately studying from event. To its competitors, it really is subjectivity run amok. within the first-ever account of Bayes' rule for basic readers, Sharon Bertsch McGrayne explores this debatable theorem and the human obsessions surrounding it. She lines its discovery via an novice mathematician within the 1740s via its improvement into approximately its smooth shape by means of French scientist Pierre Simon Laplace. She unearths why revered statisticians rendered it professionally taboo for a hundred and fifty years - even as that practitioners depended on it to unravel crises related to nice uncertainty and scanty details, even breaking Germany's Enigma code in the course of international battle II, and explains how the appearance of off-the-shelf machine know-how within the Nineteen Eighties proved to be a game-changer. at the present time, Bayes' rule is used all over the place from DNA interpreting to place of origin safeguard. "The conception that might now not Die" is a bright account of the generations-long dispute over one of many maximum breakthroughs within the background of utilized arithmetic and statistics.

Reviews:

"If you're now not considering like a Bayesian, maybe you have to be."—John Allen Paulos, long island instances booklet Review
(John Allen Paulos ny instances e-book Review)

"A masterfully researched story of human fight and accomplishment . . . . Renders puzzling mathematical debates digestible and shiny for even the main lay of audiences."—Michael Washburn, Boston Globe
(Michael Washburn Boston Globe)

“Well identified in statistical circles, Bayes’s Theorem was once first given in a posthumous paper by means of the English clergyman Thomas Bayes within the mid-eighteenth century. McGrayne presents a desirable account of the trendy use of this bring about issues as assorted as cryptography, insurance, the research of the relationship among smoking and melanoma, RAND, the id of the writer of convinced papers within the Federalist, election forecasting and the quest for a lacking H-bomb. the final reader will get pleasure from her effortless type and how within which she has effectively illustrated using as a result best value in medical work.”— Andrew I. Dale, writer of A heritage of Inverse chance From Thomas Bayes to Karl Pearson and such a lot Honorable Remembrance: The lifestyles and paintings of Thomas Bayes

(Andrew I. Dale 2010-08-19)

“Compelling, fast paced examining jam-packed with full of life characters and anecdotes. . . .A nice story.” —Robert E. Kass, Carnegie Mellon University

(Robert E. Kass)

"Makes the speculation come alive. . .enjoyable. . .densely packed and interesting, . . .very obtainable. . .an admirable task of giving a voice to the ratings of well-known and non-famous humans and knowledge who contributed, for stable or for worse."—Significance Magazine
(Significance Magazine)

"A very compelling documented account. . .very fascinating reading."—Jose Bernardo, Valencia record Blog
(Jose Bernardo Valencia checklist Blog)

"To have crafted a page-turner out of the background of records is a powerful feat. If in simple terms lectures at collage were this racy."—New Scientist
(New Scientist)

“The idea that will no longer Die is an impressively researched, rollicking story of the triumph of a strong mathematical tool.”—Andrew Robinson, Nature Vol. 475
(Andrew Robinson Nature Vol. 475 2011-07-28)

"A vigorous, attractive old account...McGrayne describes actuarial, enterprise, and armed forces makes use of of the Bayesian method, together with its software to settle the disputed authorship of 12 of the Federalist Papers, and its use to attach cigarette smoking and lung cancer...All of this can be comprehensive via compelling, fast-moving prose...The reader can't support yet take pleasure in studying approximately a few of the extra gossipy episodes and oversized personalities."—Choice
(Choice)

“McGrayne is one of these solid author that she makes this imprecise conflict gripping for the overall reader.”—Engineering and know-how Magazine
(Engineering and know-how Magazine)

"McGrayne explains [it] beautifully...Top vacation reading."—The Australian
(The Australian)

"Engaging....Readers could be surprised on the effect that Bayes' rule has had in diversified fields, in addition to by means of its rejection via too many statisticians....I used to be stated, statistically conversing, as what's referred to as a frequentist...But analyzing McGrayne's ebook has made me made up our minds to attempt, once more, to grasp the intricacies of Bayesian statisics. i'm convinced that different readers will believe the same."—The Lancet
(The Lancet)

"Thorough learn of the subject material coupled with flowing prose, a powerful set of interviews with Bayesian statisticians, and a really attractive type in telling the private tales of the few nonconformist heroes of the Bayesian school."—Sam Behseta, Chance
(Sam Behseta Chance)

"A attention-grabbing and interesting tale."—Mathematical organization of the United States Reviews
(Mathematical organization of the USA Reviews)

"For the coed who's being uncovered to Bayesian records for the 1st time, McGrayne's e-book offers a wealth of illustrations to whet his or her urge for food for extra. it is going to develop and deepen the sphere of reference of the extra specialist statistician, and the overall reader will locate an comprehensible, well-written, and interesting account of a systematic box of significant value today."—Andrew I. Dale, Notices of the yank Mathematical Society
(Andrew I. Dale Notices of the yank Mathematical Society)

"A very enticing booklet that statisticians, probabilists, and background buffs within the mathematical sciences should still enjoy."—David Agard, CryptologIA
(David Agard CryptologIA)

"Delightful ... [and] McGrayne provides an exceptional synopsis of the basic improvement of chance and information by means of Laplace."—Scott L. Zeger of Johns Hopkins, Physics this present day
(Physics at the present time Scott L. Zeger)

“Superb.”—Andrew Hacker, big apple assessment of Books
(Andrew Hacker ny assessment of Books)

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