Reprint of “Introduction to Multiple Regression Analysis, Discriminant Analysis, and AID Analysis, Statistical Betting Strategy by Multivariate Analysis” sold out within two weeks of its release!

Parade Co., Ltd.
Reprint of “Introduction to Multiple Regression Analysis, Discriminant Analysis, and AID Analysis, Statistical Betting Strategy by
Multivariate Analysis” sold out within two weeks of its release!
Parade Books is now selling the 2nd edition of “Statistical Betting Strategy by Multivariate Analysis: An Introduction to Multiple Regression Analysis, Discriminant Analysis, and AID Analysis” on Amazon.
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“Statistical Betting Strategy by Multivariate Analysis: An
Introduction to Multiple Regression Analysis, Discriminant Analysis, and AID Analysis” (by Sadao Oguchi)
Multivariate analysis is used in a wide range of fields such as medical, financial, quality control, and marketing, and many analytical techniques are used for each purpose. Especially in the field of marketing, multivariate analysis is used as an effective means of setting targets when developing and providing products and services.
This book is an “introductory book for those who want to learn the structure and calculation process of multivariate analysis from the beginning”, and at the same time, the theme is “betting strategy to statistically select and extract winning horses”. This approach is very similar to how a company decides on the core target of a developed product. Since the typical analysis methods used for such prediction purposes are multiple regression analysis, discriminant analysis, and AID analysis, this book focuses on these methods. (Principal component analysis and factor analysis for classification purposes are not described.)
Synopsis
Since the theme of this book is betting strategy, the synopsis will focus on horse racing content and introduce each chapter (Chapter I to Chapter III).
Chapter I: What is required by multiple regression analysis ⇒ I want to predict the order of finish in the target race
Variables such as “popularity”, “previous finish order”, “time”, etc., which are thought to “affect the order of finish” from existing race data, are sorted out under certain conditions (stepwise method, etc.) to create a relational expression. create. The numbers obtained will be used to rank the runners.
Chapter II: What is required in discriminant analysis ⇒ I want to extract horses involved in multiple wins
Divide the data of existing races into two groups according to the order of finish: horses involved in multiple wins (1st to 3rd place) and horses that finished 4th or lower, and classify (classify) horses in the target race into which group. be done Variables such as “popularity”, “previous finish order”, “time”, etc. are used to quantify each runner. Which group it belongs to is determined by comparison with the discrimination boundary value. In addition, we introduce the following three techniques for discriminant analysis. ■ Discriminate by calculating a linear (straight line) discriminant function ■ Discrimination using the method of multiple regression analysis ■ Determine by calculating the distance from the center of gravity (Mahalanobis’ generalized distance)
Chapter III: What is required by AID analysis (Automatic Interaction Detector) ⇒ Simultaneously extract horses involved in multiple wins and their factors
In winning predictions, the chapter I would like to recommend most in this book is AID analysis. This analysis is based on the results of existing races, and at the same time as searching for “factors of winning horses (for example, “within 5 favorites” & “within 3rd place in the previous race” & “within 3F34.5 uphill in the previous race” in the target race). , is a method of extracting horses that fit the factors (multiple winning horses, hole horses, etc.).
This method is also called [tree analysis] because targets are discovered while repeating bifurcation.
In the second half of the page, we present a winning horse prediction model calculated by AID analysis for the representative races “Japan Derby”, “Kikukasho” and “Arima Kinen”.
! ! “Those who want to know the specific predictions of the above races quickly and easily”! !
Focusing on G1 races, we post predictions (horse numbers) on SNS the day before (or on the morning of the day) when the race order is decided. (Accounts are listed on the last page of this book) author comment
When performing multivariate analysis, if you use commercially available analysis software, you can quickly and easily calculate the necessary information without knowing the mathematical structure or calculation process. However, when interpreting the results of multivariate analysis, without some understanding of the basic structure and calculation methods, there is a risk of misinterpreting the results.
This book uses commercially available analysis software for horse racing data with a large amount of information, but if you use Excel, you can handle it without using commercially available analysis software. If you are interested, why not create your own prediction model?
Author profile
Oguchi Sadao
Born in Nagano Prefecture in 1946. Lives and works in Tokyo. In 1968, he joined Market Research Co., Ltd. (MRI Group), a
specialized agency for marketing research. 1986 Established Visual Information System Co., Ltd. (VIS Co., Ltd.), specializing in the research and analysis of visual information. In 2006, he took over VIS Co., Ltd. as his successor and retired.
Book information
Books: Statistical Betting Strategy by Multivariate Analysis Multiple Regression Analysis, Discriminant Analysis, AID Analysis Primer Author: Sadao Oguchi
Publisher: Parade
Release date: October 1, 2022
ISBN: 978-4-86522-322-4
Specifications: A5 size / standard product / 132 pages
Price: 1,600 yen + tax
paradebooks: https://books.parade.co.jp/category/genre03/978-4-86522-322-4.html Amazon: https://amzn.to/3RGNDYh
Publisher information
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Parade Co., Ltd., the parent company, is a design production company. With professional skills and knowledge, we provide total support for your bookmaking and publishing with excellent design and high quality. Parade Books self-published
URL: https://www.p-press.jp
Phone: 0120-123455
Mail: paradebooks@parade.co.jp
Book introduction of Parade Books
URL: https://books.parade.co.jp
【Company Profile】
Trade name: Parade Co., Ltd.
Osaka head office: 1-1-8 Ukita, Kita-ku, Osaka-shi, Osaka
Tokyo branch office: 2-10-7 Sendagaya, Shibuya-ku, Tokyo
Representative Director: Naoki Harada
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