The First Discriminant Theory of Linearly Separable Data (PDF)
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Theory3 shows the surprising results of six ordinary data re-analyzed by Theory1 and Theory2 knowledge. Essence of Theory3 is described by using cephalopelvic disproportion (CPD) data. RIP discriminates CPD data (240*19) and finds two misclassifications unique for cesarean and natural-born groups. CPD238 omitting two patients becomes LSD, which is the first case selection method. Program4 finds BGS (14 vars.) the only variable selection method for Theory3. 32 (=25) models, including BGS, become LSD among (219-1) models. Because Program2 confirms BGS has the minimum average error rate, BGS is the most compact and best model satisfying Occam's Razor.
With this book, physicians obtain complete diagnostic results for disease, and engineers can become a true data scientist, by obtaining integral knowledge of statistics and mathematical programming with simple programs.
- Autor: Shuichi Shinmura
- 2024, 2024, 347 Seiten, Englisch
- Verlag: Springer Nature Singapore
- ISBN-10: 9819994209
- ISBN-13: 9789819994205
- Erscheinungsdatum: 12.04.2024
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- Größe: 12 MB
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