Tekijä: Chenyi Hu (ed.); R. Baker Kearfott (ed.); Andre de Korvin (ed.); Vladik Kreinovich (ed.) Kustantaja: Springer (2010) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Lotfi A. Zadeh (ed.); Ronald R. Yager (ed.); Shahnaz N. Shahbazova (ed.); Marek Z. Reformat (ed.); Vladik Kreinovich (ed.) Kustantaja: Springer (2018) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Ly H. Anh (ed.); Le Si Dong (ed.); Vladik Kreinovich (ed.); Nguyen Ngoc Thach (ed.) Kustantaja: Springer (2017) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Lotfi A. Zadeh (ed.); Ronald R. Yager (ed.); Shahnaz N. Shahbazova (ed.); Marek Z. Reformat (ed.); Vladik Kreinovich (ed.) Kustantaja: Springer (2019) Saatavuus: Noin 17-20 arkipäivää
Springer Sivumäärä: 705 sivua Asu: Kovakantinen kirja Julkaisuvuosi: 2017, 20.02.2017 (lisätietoa) Kieli: Englanti
This book presents recent research on robustness in econometrics. Robust data processing techniques – i.e., techniques that yield results minimally affected by outliers – and their applications to real-life economic and financial situations are the main focus of this book. The book also discusses applications of more traditional statistical techniques to econometric problems.
Econometrics is a branch of economics that uses mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance. In day-by-day data, we often encounter outliers that do not reflect the long-term economic trends, e.g., unexpected and abrupt fluctuations. As such, it is important to develop robust data processing techniques that can accommodate these fluctuations.
