Log in

Relevant bibliographies by topics / Robust methods / Journal articles

To see the other types of publications on this topic, follow the link: Robust methods.

Journal articles on the topic 'Robust methods'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Robust methods.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Hettmansperger, Thomas P., Joseph W. McKean, and Simon J. Sheather. "Robust Nonparametric Methods." Journal of the American Statistical Association 95, no. 452 (2000): 1308–12. http://dx.doi.org/10.1080/01621459.2000.10474337.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Künsch, Hans R. "Robust Methods for Credibility." ASTIN Bulletin 22, no. 1 (1992): 33–49. http://dx.doi.org/10.2143/ast.22.1.2005125.

Full text

Abstract:

AbstractExcess claims lead to an unsatisfactory behavior of standard linear credibility estimators. We suggest in this paper to use robust methods in order to obtain better estimators. Our first proposal is the linear credibility estimator with the claims replaced by a robust M-estimator of scale calculed from the claims. This corresponds to a truncation of the claims with a truncation point depending on the data and different for each contract. We discuss the properties of the robust M-estimator and present several examples. In order to improve the performance for a very small number of years, we propose a second estimator, which incorporates information from other claims into the M-estimator.

APA, Harvard, Vancouver, ISO, and other styles

3

Dennis, Richard, Kai Leitemo, and Ulf Söderström. "Methods for robust control." Journal of Economic Dynamics and Control 33, no. 8 (2009): 1604–16. http://dx.doi.org/10.1016/j.jedc.2009.02.011.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Mi, Jie. "Robust Nonparametric Statistical Methods." Technometrics 41, no. 1 (1999): 74. http://dx.doi.org/10.1080/00401706.1999.10485600.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Stoimenova, Eugenia. "Robust nonparametric statistical methods." Journal of Applied Statistics 39, no. 6 (2012): 1383–84. http://dx.doi.org/10.1080/02664763.2012.657414.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Wilcox, Rand R., Simon Sheather, Edgar Brunner, and Michael G. Schimek. "Nonparametric and Robust Methods." Computational Statistics & Data Analysis 51, no. 10 (2007): 5010–12. http://dx.doi.org/10.1016/j.csda.2006.10.026.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Hogg, Robert V., and William J. J. Rey. "Introduction to Robust and Quasi-Robust Statistical Methods." Journal of the American Statistical Association 80, no. 391 (1985): 784. http://dx.doi.org/10.2307/2288518.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Rota, Gian-Carlo. "Introduction to robust and quasi-robust statistical methods." Advances in Mathematics 60, no. 1 (1986): 123. http://dx.doi.org/10.1016/0001-8708(86)90012-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Hubert, Mia, Peter J. Rousseeuw, and Stefan Van Aelst. "High-Breakdown Robust Multivariate Methods." Statistical Science 23, no. 1 (2008): 92–119. http://dx.doi.org/10.1214/088342307000000087.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Tyler, David E. "Robust Statistical Methods with R." Journal of the American Statistical Association 102, no. 478 (2007): 759–60. http://dx.doi.org/10.1198/jasa.2007.s187.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Tyler, David E. "Robust Statistics: Theory and Methods." Journal of the American Statistical Association 103, no. 482 (2008): 888–89. http://dx.doi.org/10.1198/jasa.2008.s239.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Olive, David J. "Robust Statistical Methods With R." Technometrics 49, no. 4 (2007): 496. http://dx.doi.org/10.1198/tech.2007.s692.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Kay, Herbert. "Robust Identification Using Semiquantitative Methods." IFAC Proceedings Volumes 30, no. 18 (1997): 277–82. http://dx.doi.org/10.1016/s1474-6670(17)42414-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Scales, J. A., and A. Gersztenkorn. "Robust methods in inverse theory." Inverse Problems 4, no. 4 (1988): 1071–91. http://dx.doi.org/10.1088/0266-5611/4/4/010.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Burer, Samuel, and Veronica Piccialli. "Three methods for robust grading." European Journal of Operational Research 272, no. 1 (2019): 364–71. http://dx.doi.org/10.1016/j.ejor.2018.06.019.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Atkinson, Anthony C., Marco Riani, and Francesca Torti. "Robust methods for heteroskedastic regression." Computational Statistics & Data Analysis 104 (December 2016): 209–22. http://dx.doi.org/10.1016/j.csda.2016.07.002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Zhang, Juan Juan, and Yong Hui Ge. "More Efficient Methods among Commonly Used Robust Estimation Methods for Robust Unitary Linear Regression." Advanced Materials Research 712-715 (June 2013): 2493–96. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.2493.

Full text

Abstract:

Robust regression, based on the robust estimation, can effectively eliminate or weaken the influences of outliers. However, different robust methods have different abilities to eliminate or weaken the influences of outliers. The current paper employs simulation experiments, taking unitary linear regressions with different numbers of observations, different numbers of gross errors and different values of gross errors as examples, to compare the robustness of 13 commonly used robust estimation methods by the average values of relative gains. The results indicate that the L1 and GermanMcClure methods are relatively more efficient for unitary linear regression. They can more efficiently eliminate or weaken the influences of gross errors on regression coefficient valuation than other robust estimation methods.

APA, Harvard, Vancouver, ISO, and other styles

18

Kalina, Jan. "On Multivariate Methods in Robust Econometrics." Prague Economic Papers 21, no. 1 (2012): 69–82. http://dx.doi.org/10.18267/j.pep.411.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Jan, Kalina. "Highly robust methods in data mining." Serbian Journal of Management 8, no. 1 (2013): 9–24. http://dx.doi.org/10.5937/sjm8-3226.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Monzón, Nelson, Agustín Salgado, and Javier Sánchez. "Robust Discontinuity Preserving Optical Flow Methods." Image Processing On Line 5 (November 7, 2016): 165–82. http://dx.doi.org/10.5201/ipol.2016.172.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Veselý, Vojtech. "Robust Control Methods a Systematic Survey." Journal of Electrical Engineering 64, no. 1 (2013): 59–64. http://dx.doi.org/10.2478/jee-2013-0009.

Full text

Abstract:

The paper addresses the problem how to recognize a level of robust controller design and is aimed show the difficulties of implementation for practical use. In the first part of paper we introduce the survey of robust controller design for SISO systems with generalization design procedure for structured and unstructured uncertainties. The second part of paper is devoted to MIMO systems. In the frequency domain robust controller design procedure we reduce to independent design of SISO subsystems and in time domain the LMI or BMI approaches with polytopic system description are favorable.

APA, Harvard, Vancouver, ISO, and other styles

22

Theune, D., R. Thiele, W. John, and T. Lengauer. "Robust methods for EMC-driven routing." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 13, no. 11 (1994): 1366–78. http://dx.doi.org/10.1109/43.329265.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Sánchez Peña, Ricardo S. "Robust control design using H∞ methods." Automatica 38, no. 11 (2002): 2035–36. http://dx.doi.org/10.1016/s0005-1098(02)00106-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Nagarajan, S. S., J. P. Owen, L. B. Hinkley, H. T. Attias, and K. Sekihara. "Robust methods for estimating functional connectivity." NeuroImage 47 (July 2009): S169. http://dx.doi.org/10.1016/s1053-8119(09)71816-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Shoemaker, Anne C., Kwok-Leung Tsui, and C. F. Jeff Wu. "Economical Experimentation Methods for Robust Design." Technometrics 33, no. 4 (1991): 415–27. http://dx.doi.org/10.1080/00401706.1991.10484870.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Altland, Henry W. "Engineering Methods for Robust Product Design." Technometrics 38, no. 3 (1996): 286–87. http://dx.doi.org/10.1080/00401706.1996.10484511.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Hirshberg, D., and N. Merhav. "Robust methods for model order estimation." IEEE Transactions on Signal Processing 44, no. 3 (1996): 620–28. http://dx.doi.org/10.1109/78.489035.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Faraone, Stephen V., and Donald D. Dorfman. "Lag sequential analysis: Robust statistical methods." Psychological Bulletin 101, no. 2 (1987): 312–23. http://dx.doi.org/10.1037/0033-2909.101.2.312.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Pison, Greet, and Stefan Van Aelst. "Diagnostic Plots for Robust Multivariate Methods." Journal of Computational and Graphical Statistics 13, no. 2 (2004): 310–29. http://dx.doi.org/10.1198/1061860043498_a.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Dave, R. N., and R. Krishnapuram. "Robust clustering methods: a unified view." IEEE Transactions on Fuzzy Systems 5, no. 2 (1997): 270–93. http://dx.doi.org/10.1109/91.580801.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Kyrion, Tobias, and Graham Alldredge. "Robust inversion methods for aerosol spectroscopy." Inverse Problems in Science and Engineering 25, no. 5 (2016): 710–48. http://dx.doi.org/10.1080/17415977.2016.1191075.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Walsteijn, Fred H. "Robust Numerical Methods for 2D Turbulence." Journal of Computational Physics 114, no. 1 (1994): 129–45. http://dx.doi.org/10.1006/jcph.1994.1154.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

JIANG, HONG, and PETER A. FORSYTH. "ROBUST NUMERICAL METHODS FOR TRANSONIC FLOWS." International Journal for Numerical Methods in Fluids 24, no. 5 (1997): 457–76. http://dx.doi.org/10.1002/(sici)1097-0363(19970315)24:5<457::aid-fld504>3.0.co;2-i.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Møller, S. Frosch, J. von Frese, and R. Bro. "Robust methods for multivariate data analysis." Journal of Chemometrics 19, no. 10 (2005): 549–63. http://dx.doi.org/10.1002/cem.962.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Mantzaflaris, Angelos. "Robust algebraic methods for geometric computing." ACM Communications in Computer Algebra 45, no. 3/4 (2012): 237. http://dx.doi.org/10.1145/2110170.2110188.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

EKLUND, MATTHEW P., ALY A. FARAG, and MOUMEN T. EL-MELEGY. "ROBUST CORRESPONDENCE METHODS FOR STEREO VISION." International Journal of Pattern Recognition and Artificial Intelligence 17, no. 07 (2003): 1059–79. http://dx.doi.org/10.1142/s0218001403002861.

Full text

Abstract:

Correspondence is one of the major problems that must be solved in stereo vision. Correlation has been commonly used in the past for this problem. However, most classical linear correlation methods fail near depth discontinuities and in the presence of occlusions. Many robust methods have been proposed that claim to effectively deal with some or all of these issues. Many of these robust methods are transformation-based, however, other robust methods are non-transformation based. This paper gives five requirements that should be met by a transformation-based robust correlation method. We compare some of the robust correspondence methods and demonstrate their utility on different data sets. Based on these results, we propose a solution to the correspondence problem which represents a compromise between the speed of classical correlation and the improved results obtained from a more robust correspondence method. Also, we propose a median filtering technique that removes noise from the disparity maps while preserving certain image features usually removed by ordinary median filtering.

APA, Harvard, Vancouver, ISO, and other styles

37

Pishvaee, Mir Saman, and Mohamadreza Fazli Khalaf. "Novel robust fuzzy mathematical programming methods." Applied Mathematical Modelling 40, no. 1 (2016): 407–18. http://dx.doi.org/10.1016/j.apm.2015.04.054.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Schnepper, C. A., and M. A. Stadtherr. "Robust process simulation using interval methods." Computers & Chemical Engineering 20, no. 2 (1996): 187–99. http://dx.doi.org/10.1016/0098-1354(95)00014-s.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

García-Escudero, Luis Angel, Alfonso Gordaliza, Carlos Matrán, and Agustín Mayo-Iscar. "A review of robust clustering methods." Advances in Data Analysis and Classification 4, no. 2-3 (2010): 89–109. http://dx.doi.org/10.1007/s11634-010-0064-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Lima, Luiz Renato, Marcelo Moreira, Jack Porter, and Zhijie Xiao. "Nonparametric and robust methods in econometrics." Journal of Econometrics 152, no. 2 (2009): 79–80. http://dx.doi.org/10.1016/j.jeconom.2009.04.001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Yuan, Ke‐Hai, and Brenna Gomer. "An overview of applied robust methods." British Journal of Mathematical and Statistical Psychology 74, S1 (2021): 199–246. http://dx.doi.org/10.1111/bmsp.12230.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Yuan, Yuan, and Yong Hui Ge. "More Efficient Methods among Commonly Used Robust Estimation Methods for Similarity Transformation." Advanced Materials Research 712-715 (June 2013): 2497–500. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.2497.

Full text

Abstract:

mage calibration is a necessary step in image processing. Similarity transformation is a widely used image calibration method. Robust estimation methods are often used to eliminate or weaken the influences of gross errors on image calibration. However, different robust estimation methods have different capabilities in eliminating or weakening gross errors. The current paper employed simulation experiments using different coincident points and the number of gross errors included in the observations to compare the robustness of 13 commonly used robust estimation methods. Results indicated that L1 and GermanMcClure methods are relatively more efficient than other robust estimation methods for image calibration based on similarity transformation.

APA, Harvard, Vancouver, ISO, and other styles

43

Carroll, R. J., H. Bunke, and O. Bunke. "Nonlinear Regression, Functional Relations and Robust Methods." Biometrics 46, no. 3 (1990): 877. http://dx.doi.org/10.2307/2532110.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Äyrämö, S., I. Pölönen, and M. A. Eskelinen. "CLUSTERING INCOMPLETE SPECTRAL DATA WITH ROBUST METHODS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W3 (October 19, 2017): 13–17. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w3-13-2017.

Full text

Abstract:

Missing value imputation is a common approach for preprocessing incomplete data sets. In case of data clustering, imputation methods may cause unexpected bias because they may change the underlying structure of the data. In order to avoid prior imputation of missing values the computational operations must be projected on the available data values. In this paper, we apply a robust nan-K-spatmed algorithm to the clustering problem on hyperspectral image data. Robust statistics, such as multivariate medians, are more insensitive to outliers than classical statistics relying on the Gaussian assumptions. They are, however, computationally more intractable due to the lack of closed-form solutions. We will compare robust clustering methods on the bands incomplete data cubes to standard K-means with full data cubes.

APA, Harvard, Vancouver, ISO, and other styles

45

Chernobai, Anna, and Svetlozar Rachev. "Applying robust methods to operational risk modeling." Journal of Operational Risk 1, no. 1 (2006): 27–41. http://dx.doi.org/10.21314/jop.2006.003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Trzpiot, Grażyna. "Selected Robust Methods for Camp Model Estimation." Folia Oeconomica Stetinensia 12, no. 2 (2012): 58–71. http://dx.doi.org/10.2478/v10031-012-0032-7.

Full text

Abstract:

Abstract This paper presents evidence that Ordinary Least Squares estimators of beta coefficients of major firms and portfolios are highly sensitive to observations of extremes in market index returns. This sensitivity is rooted in the inconsistency of the quadratic loss function in financial theory. By introducing considerations of risk aversion into the estimation procedure using alternative estimators measures of variability we can overcome this lack of robustness and improve the reliability of the results.

APA, Harvard, Vancouver, ISO, and other styles

47

Lee, Guem Mi, Kyupil Yeon, and Hyeuk Kim. "A Comparative Study on Robust Regression Methods." IARJSET 3, no. 8 (2016): 166–70. http://dx.doi.org/10.17148/iarjset.2016.3830.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

YILMAZ, İrem, and Fırat ÖZDEMİR. "Robust Methods for Comparing K Independent Groups." Turkiye Klinikleri Journal of Biostatistics 8, no. 2 (2016): 143–51. http://dx.doi.org/10.5336/biostatic.2016-50837.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Victoria-Feser, Maria-Pia, and Elvezio Ronchetti. "Robust methods for personal-income distribution models." Canadian Journal of Statistics 22, no. 2 (1994): 247–58. http://dx.doi.org/10.2307/3315587.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Penev, Spiridon, and Kanta Naito. "Locally robust methods and near-parametric asymptotics." Journal of Multivariate Analysis 167 (September 2018): 395–417. http://dx.doi.org/10.1016/j.jmva.2018.06.006.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!