Taylor & Francis E-Books (statistics)
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Taylor & Francis 電子書 |
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eISBN |
Title |
Edition |
Author |
Pub Date |
Link |
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978-1032457550 |
Big data analytics: a guide to data science practitioners making the transition to big data (Chapman & Hall / CRC data science series) |
1st Edition |
Ulrich Matter |
2023/9/4 |
https://www.taylorfrancis.com/books/mono/10.1201/9781003378822/ |
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978-0367140021 |
Models for multi-state survival data: rates, risks, and pseudo-values (Chapman & Hall / CRC texts in statistical science) |
1st Edition |
Per Kragh Andersen, Henrik Ravn |
2023/10/11 |
https://www.taylorfrancis.com/books/mono/10.1201/9780429029684/ |
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978-1032196411 |
Modern optimization methods for decision making under risk and uncertainty |
1st Edition |
Alexei A. Gaivoronski (Editor) , Pavlo S. Knopov (Editor) , and more |
2023/10/6 |
https://www.taylorfrancis.com/books/edit/10.1201/9781003260196/ |
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978-1003257745 |
Foundations of quantitative finance, book I: measure spaces and measurable functions |
1st Edition |
Robert R. Reitano |
2022/10/31 |
https://www.taylorfrancis.com/books/edit/10.1201/9781003257745/ |
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978-1003260547 |
Foundations of quantitative finance, book II: probability spaces and random variables |
1st Edition |
Robert R. Reitano |
2022/12/28 |
https://www.taylorfrancis.com/books/mono/10.1201/9781003260547/ |
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978-1003264590 |
Foundations of quantitative finance, book III: the integrals of riemann, lebesgue and (riemann-)stieltjes |
1st Edition |
Robert R. Reitano |
2023/5/23 |
https://www.taylorfrancis.com/books/mono/10.1201/9781003264590/ |
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978-1003264583 |
Foundations of quantitative finance, book IV: distribution functions and expectations |
1st Edition |
Robert R. Reitano |
2023/9/12 |
https://www.taylorfrancis.com/books/mono/10.1201/9781003264583 |
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