Taylor & Francis E-Books (statistics)

 

Taylor & Francis 電子書 

eISBN

Title

Edition

Author

Pub Date

Link

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/

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/

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/

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/

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/

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/

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