Weighing the Odds

Weighing the Odds
Author: David Williams
Publisher: Cambridge University Press
Total Pages: 570
Release: 2001-08-02
Genre: Mathematics
ISBN: 9780521006187

An advanced textbook; with many examples and exercises, often with hints or solutions; code is provided for computational examples and simulations.

Weighing the Odds in Sports Betting

Weighing the Odds in Sports Betting
Author: King Yao
Publisher:
Total Pages: 0
Release: 2007
Genre: Sports betting
ISBN: 9780935926309

This book by King Yao, author of the widely-acclaimed Weighing the Odds in Hold 'em Poker, should be used as a guideline to sports betting rather than a blueprint. The sports betting market changes and adapts quickly. The underlying principles shown in this book should help the reader adapt and continue to make good bets even when the market changes.

Sets, Logic and Maths for Computing

Sets, Logic and Maths for Computing
Author: David Makinson
Publisher: Springer Science & Business Media
Total Pages: 302
Release: 2012-02-27
Genre: Computers
ISBN: 1447125002

This easy-to-follow textbook introduces the mathematical language, knowledge and problem-solving skills that undergraduates need to study computing. The language is in part qualitative, with concepts such as set, relation, function and recursion/induction; but it is also partly quantitative, with principles of counting and finite probability. Entwined with both are the fundamental notions of logic and their use for representation and proof. Features: teaches finite math as a language for thinking, as much as knowledge and skills to be acquired; uses an intuitive approach with a focus on examples for all general concepts; brings out the interplay between the qualitative and the quantitative in all areas covered, particularly in the treatment of recursion and induction; balances carefully the abstract and concrete, principles and proofs, specific facts and general perspectives; includes highlight boxes that raise common queries and clear confusions; provides numerous exercises, with selected solutions.

Never Goin' Back

Never Goin' Back
Author: Al Roker
Publisher: Penguin
Total Pages: 289
Release: 2014-01-07
Genre: Biography & Autobiography
ISBN: 0451414942

The popular television personality discusses his battle with weight loss, describing his initial successes after bypass surgery, his efforts to get back on track after regaining lost weight, and his confrontation with goal-compromising childhood issues.

Conquering Risk

Conquering Risk
Author:
Publisher: Elihu Feustel
Total Pages: 280
Release: 2010
Genre: Gambling
ISBN: 9781450723008

Statistics for HCI

Statistics for HCI
Author: Alan Dix
Publisher: Morgan & Claypool Publishers
Total Pages: 183
Release: 2020-04-10
Genre: Computers
ISBN: 1681737442

Many people find statistics confusing, and perhaps even more confusing given recent publicity about problems with traditional p-values and alternative statistical techniques including confidence intervals and Bayesian statistics. This book aims to help readers navigate this morass: to understand the debates, to be able to read and assess other people's statistical reports, and make appropriate choices when designing and analysing their own experiments, empirical studies, and other forms of quantitative data gathering.

In Spite of the Odds

In Spite of the Odds
Author: Richie Contartesi
Publisher:
Total Pages: 198
Release: 2015-09-26
Genre: Sports & Recreation
ISBN: 9780996618526

At 5'7" and 155 pounds, Richie overcame the obstacles and the naysayers to earn a full SEC scholarship and a place in Ole Miss tradition. His journey chronicles the trials and tribulation of a boy with a dream and the realities of Division I college football in the SEC.

Doing Meta-Analysis with R

Doing Meta-Analysis with R
Author: Mathias Harrer
Publisher: CRC Press
Total Pages: 500
Release: 2021-09-15
Genre: Mathematics
ISBN: 1000435636

Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced but highly relevant topics such as network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible. Features • Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data, including exercises • Describes statistical concepts clearly and concisely before applying them in R • Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book

Introductory Statistics 2e

Introductory Statistics 2e
Author: Barbara Illowsky
Publisher:
Total Pages: 2106
Release: 2023-12-13
Genre: Mathematics
ISBN:

Introductory Statistics 2e provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a variety of fields and societal contexts, including business, healthcare, sciences, sociology, political science, computing, and several others. The material supports students with conceptual narratives, detailed step-by-step examples, and a wealth of illustrations, as well as collaborative exercises, technology integration problems, and statistics labs. The text assumes some knowledge of intermediate algebra, and includes thousands of problems and exercises that offer instructors and students ample opportunity to explore and reinforce useful statistical skills. This is an adaptation of Introductory Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.

Probability and the Weighing of Evidence

Probability and the Weighing of Evidence
Author: Isidore Jacob Good
Publisher: Hassell Street Press
Total Pages: 136
Release: 2021-09-09
Genre:
ISBN: 9781013791796

This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.