The statistical inferences of fuzzy regression based on bootstrap techniques
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| 001 | 605469938 | ||
| 003 | CHVBK | ||
| 005 | 20210128100325.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150401xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00500-014-1415-5 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00500-014-1415-5 | ||
| 245 | 0 | 4 | |a The statistical inferences of fuzzy regression based on bootstrap techniques |h [Elektronische Daten] |c [Woo-Joo Lee, Hye Jung, Jin Yoon, Seung Choi] |
| 520 | 3 | |a In this paper, we estimate the parameters of fuzzy regression models and investigate a statistical inferences with crisp inputs and fuzzy outputs for each $$\alpha $$ α -cut. The proposed approaches of statistical inferences are fuzzy least squares (FLS) method and bootstrap technique. FLS is constructed on the basis of minimizing the sum of square of the total difference between observed and estimated outputs. Numerical examples are illustrated to perform the hypotheses test and to provide the percentile confidence regions by proposed approach. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Fuzzy regression |2 nationallicence | |
| 690 | 7 | |a Fuzzy least squares method |2 nationallicence | |
| 690 | 7 | |a Bootstrap method |2 nationallicence | |
| 700 | 1 | |a Lee |D Woo-Joo |u Department of Mathematics, Yonsei University, Seoul, Republic of Korea |4 aut | |
| 700 | 1 | |a Jung |D Hye |u Department of Mathematics, Yonsei University, Seoul, Republic of Korea |4 aut | |
| 700 | 1 | |a Yoon |D Jin |u School of Mathematics and Statistics, Sejong University, Seoul, Republic of Korea |4 aut | |
| 700 | 1 | |a Choi |D Seung |u School of Liberal Arts and Science, Korea Aerospace University, Goyang, Republic of Korea |4 aut | |
| 773 | 0 | |t Soft Computing |d Springer Berlin Heidelberg |g 19/4(2015-04-01), 883-890 |x 1432-7643 |q 19:4<883 |1 2015 |2 19 |o 500 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00500-014-1415-5 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00500-014-1415-5 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Lee |D Woo-Joo |u Department of Mathematics, Yonsei University, Seoul, Republic of Korea |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Jung |D Hye |u Department of Mathematics, Yonsei University, Seoul, Republic of Korea |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Yoon |D Jin |u School of Mathematics and Statistics, Sejong University, Seoul, Republic of Korea |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Choi |D Seung |u School of Liberal Arts and Science, Korea Aerospace University, Goyang, Republic of Korea |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Soft Computing |d Springer Berlin Heidelberg |g 19/4(2015-04-01), 883-890 |x 1432-7643 |q 19:4<883 |1 2015 |2 19 |o 500 | ||