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|a TXAM
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| 100 |
1 |
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|a Kissell, Robert,
|d 1967-
|e author.
|1 https://id.oclc.org/worldcat/entity/E39PCjHw9bmw8hXdR7Rt4K398P
|
| 245 |
1 |
0 |
|a Optimal sports math, statistics, and fantasy /
|c Robert Kissell and Jim Poserina.
|
| 264 |
|
1 |
|a London :
|b Academic Press,
|c [2017]
|
| 264 |
|
4 |
|c ©2017
|
| 300 |
|
|
|a 1 online resource
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
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|a online resource
|b cr
|2 rdacarrier
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| 504 |
|
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|a Includes bibliographical references and index.
|
| 588 |
0 |
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|a Vendor-supplied metadata.
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| 505 |
0 |
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|6 880-01
|a Front Cover; Optimal Sports Math, Statistics, and Fantasy; Copyright Page; Contents; Biographical Information; 1 How They Play the Game; Bibliography; 2 Regression Models; 2.1 Introduction; 2.2 Mathematical Models; 2.3 Linear Regression; Estimating Parameters; Estimated Parameters; Se(bk): Standard Error of the Parameter; Regression Error; R-Square (R2); t-Stat; F-Value; Regression Model Requirements; 2.4 Regression Metrics; Regression Analysis Statistics; t-Test; R2 Goodness of Fit; F-Test; Probability Home Team Wins; Matrix Algebra Techniques; Estimate Parameters.
|
| 505 |
8 |
|
|a Standard Normal DistributionStudent's t-Distribution; Log-Normal Distribution; Uniform Distribution; Exponential Distribution; Chi-Square Distribution; Logistic Distribution; Triangular Distribution; Discrete Distributions; Binomial Distribution; Poisson Distribution; 4.3 Sampling Techniques; 4.4 Random Sampling; 4.5 Sampling With Replacement; 4.6 Sampling Without Replacement; 4.7 Bootstrapping Techniques; 4.8 Jackknife Sampling Techniques; 4.9 Monte Carlo Simulation; 4.10 Conclusion; Endnote; References; 5 Sports Prediction Models; 5.1 Introduction; 5.2 Game Scores Model; Description.
|
| 505 |
8 |
|
|a Model FormSolving the Model; Estimating Home Team Winning Spread; Estimating Probability; Calculating Probability That the Home Team Wins; Calculating Probability That the Home Team Wins by a Specified Score; 5.3 Team Statistics Model; Description; Model Form; Solving the Model; Estimating Home Team Winning Spread; Estimating Probability; Calculating Probability That the Home Team Wins; Calculating Probability That the Home Team Wins by a Specified Score; 5.4 Logistic Probability Model; Description; Model Form; Solving the Model; Estimating Home Team Winning Probability.
|
| 505 |
8 |
|
|a Estimating Home Team Winning Spread5.5 Team Ratings Model; Description; Model Form; Estimating Home Team Winning Spread; Estimating Probability; Calculating Probability That the Home Team Wins; Calculating Probability That the Home Team Wins by a Specified Score; 5.6 Logit Spread Model; Description; Model Form; Solving the Model; Estimating Home Team Winning Spread; Estimating Probability; 5.7 Logit Points Model; Description; Model Form; 5.8 Estimating Parameters; Estimating Home Team Points; Estimating Away Team Points; Estimating Home Team Winning Spread.
|
| 650 |
|
0 |
|a Sports
|x Statistical methods.
|
| 650 |
|
0 |
|a Sports
|x Mathematical models.
|
| 650 |
|
0 |
|a Sports
|v Statistics.
|
| 650 |
|
0 |
|a Sports
|x Mathematics.
|
| 650 |
|
6 |
|a Sports
|x Méthodes statistiques.
|
| 650 |
|
6 |
|a Sports
|x Modèles mathématiques.
|
| 650 |
|
6 |
|a Sports
|v Statistiques.
|
| 650 |
|
6 |
|a Sports
|x Mathématiques.
|
| 650 |
|
7 |
|a GAMES
|x Gambling
|x Sports.
|2 bisacsh
|
| 650 |
|
7 |
|a SPORTS & RECREATION
|x Business Aspects.
|2 bisacsh
|
| 650 |
|
7 |
|a SPORTS & RECREATION
|x Essays.
|2 bisacsh
|
| 650 |
|
7 |
|a SPORTS & RECREATION
|x History.
|2 bisacsh
|
| 650 |
|
7 |
|a SPORTS & RECREATION
|x Reference.
|2 bisacsh
|
| 650 |
|
7 |
|a TRAVEL
|x Special Interest
|x Sports.
|2 bisacsh
|
| 650 |
|
7 |
|a Sports
|2 fast
|
| 650 |
|
7 |
|a Sports
|x Mathematical models
|2 fast
|
| 650 |
|
7 |
|a Sports
|x Mathematics
|2 fast
|
| 650 |
|
7 |
|a Sports
|x Statistical methods
|2 fast
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| 655 |
|
7 |
|a Electronic books.
|2 local
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| 655 |
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2 |
|a Statistics
|
| 655 |
|
7 |
|a Statistics
|2 fast
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| 655 |
|
7 |
|a Statistics.
|2 lcgft
|
| 655 |
|
7 |
|a Statistiques.
|2 rvmgf
|
| 700 |
1 |
|
|a Poserina, Jim,
|e author.
|
| 710 |
2 |
|
|a ScienceDirect (Online service)
|
| 776 |
0 |
8 |
|i Print version:
|a Kissell, Robert, 1967-
|t Optimal sports math, statistics, and fantasy.
|d London : Academic Press, [2017]
|z 0128051639
|z 9780128051634
|w (OCoLC)959880101
|
| 856 |
4 |
0 |
|u http://proxy.library.tamu.edu/login?url=https://www.sciencedirect.com/science/book/9780128051634
|z Connect to the full text of this electronic book
|t 0
|
| 880 |
8 |
|
|6 505-01/(S
|a Compute Standard Errors of βR2 Statistic; F-Statistic; Probability Home Team Wins; 2.5 Log-Regression Model; Example: Log-Transformation; 2.6 Nonlinear Regression Model; 2.7 Conclusions; References; 3 Probability Models; 3.1 Introduction; 3.2 Data Statistics; 3.3 Forecasting Models; 3.4 Probability Models; 3.5 Logit Model Regression Models; 3.6 Conclusions; References; 4 Advanced Math and Statistics; 4.1 Introduction; 4.2 Probability and Statistics; Probability Distributions; Descriptive Statistics; Probability Distribution Functions; Continuous Distribution Functions; Normal Distribution.
|
| 955 |
|
|
|a Elsevier ScienceDirect 2026-2027
|
| 994 |
|
|
|a 92
|b TXA
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| 999 |
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| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|s www_evans
|d Available Online
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|h Library of Congress classification
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| 998 |
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