Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

Start studying a variety of difficulties

Since the e-book of the bestselling, hugely instructed first version, R has significantly multiplied either in acceptance and within the variety of applications to be had. Extending the Linear version with R: Generalized Linear, combined results and Nonparametric Regression types, moment Edition takes good thing about the better performance now to be had in R and considerably revises and provides numerous topics.

New to the second one Edition

  • Expanded assurance of binary and binomial responses, together with share responses, quasibinomial and beta regression, and utilized concerns concerning those versions
  • New sections on Poisson types with dispersion, 0 inflated count number types, linear discriminant research, and sandwich and strong estimation for generalized linear versions (GLMs)
  • Revised chapters on random results and repeated measures that mirror adjustments within the lme4 package deal and exhibit the right way to practice speculation checking out for the types utilizing different methods
  • New bankruptcy at the Bayesian research of combined impact types that illustrates using STAN and offers the approximation approach to INLA
  • Revised bankruptcy on generalized linear combined versions to mirror the a lot richer selection of becoming software program now available
  • Updated assurance of splines and self belief bands within the bankruptcy on nonparametric regression
  • New fabric on random forests for regression and class
  • Revamped R code all through, rather the numerous plots utilizing the ggplot2 package
  • Revised and elevated routines with recommendations now included

Demonstrates the interaction of idea and Practice

This textbook maintains to hide various strategies that develop from the linear regression version. It provides 3 extensions to the linear framework: GLMs, combined impact types, and nonparametric regression types. The ebook explains information research utilizing actual examples and contains the entire R instructions essential to reproduce the analyses.

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An Introduction to Queueing Theory: Modeling and Analysis in Applications (Statistics for Industry and Technology)

By U. Narayan Bhat

This introductory textbook is designed for a one-semester direction on queueing concept that doesn't require a direction in stochastic procedures as a prerequisite. through integrating the required historical past on stochastic methods with the research of types, this ebook presents a foundational advent to the modeling and research of queueing structures for a extensive interdisciplinary viewers of scholars. Containing workouts and examples, this quantity can be used as a textbook by means of first-year graduate and upper-level undergraduate scholars. The paintings can also be valuable as a self-study reference for purposes and additional research.

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Practical Data Science with R

By Nina Zumel, John Mount

Summary

Practical info technology with R lives as much as its identify. It explains uncomplicated rules with out the theoretical mumbo-jumbo and jumps correct to the true use instances you will face as you gather, curate, and examine the information an important to the good fortune of your enterprise. you are going to follow the R programming language and statistical research ideas to scrupulously defined examples established in advertising, enterprise intelligence, and choice support.

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

About the Book

Business analysts and builders are more and more accumulating, curating, studying, and reporting on an important enterprise information. The R language and its linked instruments supply a simple solution to take on daily facts technology projects and not using a lot of educational idea or complicated mathematics.

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

This ebook is available to readers with no history in info technological know-how. a few familiarity with easy information, R, or one other scripting language is assumed.

What's Inside

  • Data technological know-how for the enterprise professional
  • Statistical research utilizing the R language
  • Project lifecycle, from making plans to delivery
  • Numerous immediately standard use cases
  • Keys to potent facts presentations

About the Authors

Nina Zumel and John Mount are cofounders of a San Francisco-based information technology consulting company. either carry PhDs from Carnegie Mellon and weblog on facts, chance, and laptop technology at win-vector.com.

Table of Contents

    PART 1 advent TO information SCIENCE
  1. The facts technology 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 complex methods
  11. PART three offering RESULTS
  12. Documentation and deployment
  13. Producing powerful presentations

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Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance

By Bernard Marr

Convert the promise of massive facts into actual international results

There is lots buzz round vast facts. all of us want to know what it's and the way it really works - that a lot is apparent. yet is a simple knowing of the speculation adequate to carry your individual in process conferences? most likely. yet what is going to set you except the remainder is absolutely figuring out easy methods to USE enormous information to get reliable, real-world enterprise effects - and placing that during position to enhance functionality. Big Data offers you a transparent knowing, blueprint, and step by step method of development your individual enormous info technique. this can be a well-needed sensible creation to really placing the subject into perform. Illustrated with a number of real-world examples from a pass part of businesses and enterprises, Big facts will take you thru the 5 steps of the shrewdpermanent version: commence with approach, degree Metrics and knowledge, practice Analytics, record effects, Transform.

  • Discusses how businesses have to basically outline what it's they should know
  • Outlines how businesses can acquire proper info and degree the metrics that would aid them resolution their most vital company questions
  • Addresses how the result of sizeable information analytics should be visualised and communicated to make sure key decisions-makers comprehend them
  • Includes many high-profile case stories from the author's paintings with many of the world's top identified brands

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Numbers Rule Your World: The Hidden Influence of Probabilities and Statistics on Everything You Do

By Kaiser Fung

WHAT ARE the percentages you will WIN THE LOTTERY?

How lengthy will your children wait in line at Disney global?

Who comes to a decision that “standardized exams” are reasonable?

Why do street engineers construct slow-moving ramps?

What does it suggest, statistically, to be an “Average Joe”?

NUMBERS RULE YOUR WORLD
within the well known culture of eye-opening bestsellers like Freakonomics, The Tipping aspect, and tremendous Crunchers, this interesting publication from popular statistician and blogger Kaiser Fung takes you contained in the hidden global of proof and figures that have an effect on you each day, in each manner.

These are the information that rule your lifestyles, your task, your trip, your holiday, your foodstuff, your wellbeing and fitness, your funds, and your good fortune. this can be how engineers calculate your caliber of residing, how organisations ensure your wishes, and the way politicians estimate your evaluations. those are the numbers you by no means imagine about-even even though they play a very important function in each element of your lifestyles.

What you research may possibly shock you, amuse you, or maybe enrage you. yet there is something you will not be capable to deny: Numbers Rule Your World…

"An effortless learn with a huge benefit."
―Fareed Zakaria, CNN

"For those that have nervousness approximately how association data-mining is impacting their international, Kaiser Fung pulls again the curtain to bare the nice and the undesirable of predictive analytics."
―Ian Ayres,Yale professor and writer of Super Crunchers: Why pondering by means of Numbers is the hot approach to Be Smart

"A ebook that engages us with tales journalist may write, the compelling tales in the back of the tales as illuminated via the numbers, and the dynamics that the numbers reveal."
―John Sall, government vp, SAS Institute

"Little did i believe, whilst I picked up Kaiser Fung's publication, that i'd develop into so entranced by way of it - an illuminating and obtainable exploration of the ability of statistical research for these folks who've no previous education in a box that he explores so ably."
―Peter Clarke, writer of Keynes: the increase, Fall, and go back of the 20 th Century's so much Influential Economist

"A great booklet. . . . so one can know the way to exploit facts, easy methods to imagine with numbers and but to do that with no getting misplaced in equations, if you have been trying to find the booklet to unencumber the door to logical brooding about difficulties, good, you may be happy to understand that you're maintaining that publication on your hands."
―Daniel Finkelstein, government Editor, The instances of London

"I completely loved this available publication and enthusiastically suggest it to a person seeking to comprehend and savour the function of information and knowledge research in fixing difficulties and in making a higher world."
―Michael Sherman, Texas A&M collage, American Statistician

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Robust Statistics

By Peter J. Huber

A re-creation of the vintage, groundbreaking e-book on strong statistics

Over twenty-five years after the ebook of its predecessor, Robust Statistics, moment version maintains to supply an authoritative and systematic remedy of the subject. This new version has been completely up-to-date and accelerated to mirror the most recent advances within the box whereas additionally outlining the proven thought and purposes for development a superior starting place in powerful facts for either the theoretical and the utilized statistician.

A finished advent and dialogue at the formal mathematical history in the back of qualitative and quantitative robustness is supplied, and next chapters delve into simple sorts of scale estimates, asymptotic minimax concept, regression, powerful covariance, and strong layout. as well as a longer therapy of strong regression, the second one variation good points 4 new chapters covering:

  • Robust Tests

  • Small pattern Asymptotics

  • Breakdown Point

  • Bayesian Robustness

An elevated remedy of strong regression and pseudo-values is additionally featured, and ideas, instead of mathematical completeness, are under pressure in each dialogue. chosen numerical algorithms for computing powerful estimates and convergence proofs are supplied through the publication, besides quantitative robustness info for numerous estimates. A normal comments part looks at first of every bankruptcy and offers readers with abundant motivation for operating with the offered equipment and techniques.

Robust Statistics, moment variation is a perfect booklet for graduate-level classes at the subject. It additionally serves as a important reference for researchers and practitioners who desire to examine the statistical study linked to strong statistics.

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Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data

By Željko Ivezic, Andrew J. Connolly, Jacob T. VanderPlas, Alexander Gray

Book Details:

ISBN: 0691151687
EAN: 9780691151687
ASIN: 0691151687
Publisher: Princeton collage Press
Publication Date: 2014-01-12
Number of Pages: 560
Website: Amazon, LibraryThing, Google Books, Goodreads

Synopsis from Amazon:

As telescopes, detectors, and desktops develop ever extra robust, the amount of knowledge on the disposal of astronomers and astrophysicists will input the petabyte area, supplying actual measurements for billions of celestial gadgets. This publication offers a complete and available creation to the state-of-the-art statistical equipment had to successfully learn advanced info units from astronomical surveys reminiscent of the Panoramic Survey Telescope and swift reaction method, the darkish strength Survey, and the approaching huge Synoptic Survey Telescope. It serves as a realistic guide for graduate scholars and complex undergraduates in physics and astronomy, and as an vital reference for researchers.

Statistics, info Mining, and laptop studying in Astronomy offers a wealth of sensible research difficulties, evaluates strategies for fixing them, and explains how you can use quite a few ways for various kinds and sizes of information units. For all functions defined within the ebook, Python code and instance information units are supplied. The aiding facts units were rigorously chosen from modern astronomical surveys (for instance, the Sloan electronic Sky Survey) and are effortless to obtain and use. The accompanying Python code is publicly on hand, good documented, and follows uniform coding criteria. jointly, the information units and code let readers to breed all of the figures and examples, overview the equipment, and adapt them to their very own fields of interest.

  • Describes the main precious statistical and data-mining equipment for extracting wisdom from large and complicated astronomical facts sets
  • Features real-world facts units from modern astronomical surveys
  • Uses a freely on hand Python codebase throughout
  • Ideal for college kids and dealing astronomers

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An Introduction to Analysis of Financial Data with R

By Ruey S. Tsay

A entire set of statistical instruments for starting monetary analysts from a number one authority

Written by means of one of many top specialists at the subject, An creation to research of monetary facts with R explores easy recommendations of visualization of monetary info. via a basic stability among thought and purposes, the publication offers readers with an obtainable method of monetary econometric types and their purposes to real-world empirical research.

The writer offers a hands-on advent to the research of monetary facts utilizing the freely to be had R software program package deal and case reports to demonstrate real implementations of the mentioned equipment. The publication starts off with the fundamentals of economic facts, discussing their precis information and comparable visualization tools. next chapters discover easy time sequence research and easy econometric versions for enterprise, finance, and economics in addition to similar themes including:

  • Linear time sequence research, with assurance of exponential smoothing for forecasting and techniques for version comparison
  • Different methods to calculating asset volatility and numerous volatility models
  • High-frequency monetary info and easy versions for expense alterations, buying and selling depth, and discovered volatility
  • Quantitative equipment for possibility administration, together with worth in danger and conditional price at risk
  • Econometric and statistical tools for possibility overview in line with severe price thought and quantile regression

Throughout the publication, the visible nature of the subject is showcased via graphical representations in R, and particular case reports exhibit the relevance of records in finance. A comparable site beneficial properties extra info units and R scripts so readers can create their very own simulations and try their comprehension of the provided techniques.

An creation to research of economic information with R is a wonderful publication for introductory classes on time sequence and enterprise records on the upper-undergraduate and graduate point. The booklet is usually an exceptional source for researchers and practitioners within the fields of industrial, finance, and economics who wish to improve their figuring out of monetary information and present day monetary markets.

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A Modern Approach to Regression with R (Springer Texts in Statistics)

This publication specializes in instruments and methods for construction regression types utilizing real-world info and assessing their validity. A key topic during the publication is that it is sensible to base inferences or conclusions purely on legitimate versions. Plots are proven to be an enormous instrument for either development regression versions and assessing their validity. we will see that figuring out what to plan and the way every one plot can be interpreted might be a massive problem. that allows you to triumph over this problem we will have to comprehend the mathematical homes of the outfitted regression versions and linked diagnostic tactics. As such it will be a space of concentration during the e-book. specifically, we will rigorously examine the houses of resi- als so that it will comprehend while styles in residual plots supply direct information regarding version misspecification and after they don't. The regression output and plots that seem during the e-book were gen- ated utilizing R. The output from R that looks during this e-book has been edited in minor methods. at the booklet website you will discover the R code utilized in every one instance within the textual content.

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Statistical Inference (Dover Books on Mathematics)

Unified therapy of chance and information examines and analyzes the connection among the 2 fields, exploring inferential concerns. a number of difficulties, examples, and diagrams--some with solutions--plus straight forward, highlighted summaries of effects. complex undergraduate to graduate point. Contents: 1. advent. 2. chance version. three. likelihood Distributions. four. creation to Statistical Inference. five. extra on Mathematical Expectation. 6. a few Discrete types. 7. a few non-stop types. eight. capabilities of Random Variables and Random Vectors. nine. Large-Sample idea. 10. normal tools of aspect and period Estimation. eleven. trying out Hypotheses. 12. research of express information. thirteen. research of Variance: k-Sample difficulties. Appendix-Tables. solutions to Odd-Numbered difficulties. Index. Unabridged republication of the version released by means of John Wiley & Sons, ny, 1984. one hundred forty four Figures. 35 Tables. Errata record ready through the author

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