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Journal articles on the topic 'Least'

Author: Grafiati

Published: 4 June 2021

Last updated: 31 January 2023

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1

AL-CHALABI, M. "WHEN LEAST-SQUARES SQUARES LEAST1." Geophysical Prospecting 40, no. 3 (1992): 359–78. http://dx.doi.org/10.1111/j.1365-2478.1992.tb00380.x.

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2

Petras, Ivo, and Igor Podlubny. "Least Squares or Least Circles?" CHANCE 23, no. 2 (2010): 38–42. http://dx.doi.org/10.1080/09332480.2010.10739804.

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3

Petras, Ivo, and Igor Podlubny. "Least squares or least circles?" CHANCE 23, no. 2 (2010): 38–42. http://dx.doi.org/10.1007/s00144-010-0021-2.

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4

Jeníček, V., and Š. Grófová. "Least developed countries – characteristics." Agricultural Economics (Zemědělská ekonomika) 60, No. 2 (2014): 65–73. http://dx.doi.org/10.17221/67/2013-agricecon.

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Despite some progresses in the political situation, the effects of the economic crisis and widespread food insecurity are expected to persist. Humanitarian assistance is now needed to support the needs of the most vulnerable. In the longer term, countries have the significant goal of consolidating peace and security and strengthening the overall governance, while at the same time, reconstructing and rehabilitating their economy. &nbsp;

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5

Jeníček, V., and Š. Grófová. "Least developed countries – comparison." Agricultural Economics (Zemědělská ekonomika) 60, No. 3 (2014): 99–109. http://dx.doi.org/10.17221/70/2013-agricecon.

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The inter-related causes of food insecurity in these countries are mainly the long lasting civil wars, a limited access to land, environmental degradation, climatic shocks and the rapid population growth resulting from the high birth rates and the return of refugees. &nbsp; &nbsp;

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6

Cvetkovic, Dragos, and Dragan Stevanovic. "Graphs with least eigenvalue at least -√3." Publications de l'Institut Mathematique 73, no. 87 (2003): 39–51. http://dx.doi.org/10.2298/pim0373039c.

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7

Bassett, C. Dylan. "At Least." Dialogue: A Journal of Mormon Thought 50, no. 4 (2017): 105–7. http://dx.doi.org/10.5406/dialjmormthou.50.4.0105.

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8

Kaufman, Asher S. "Least action." Physics World 18, no. 2 (2005): 21. http://dx.doi.org/10.1088/2058-7058/18/2/31.

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9

Kogan, Naomi R. "At Least." Palliative and Supportive Care 11, no. 2 (2012): 175. http://dx.doi.org/10.1017/s1478951512000041.

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10

Fearn, Tom. "Least Squares." NIR news 10, no. 1 (1999): 7–13. http://dx.doi.org/10.1255/nirn.502.

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11

Cvetkovic, Dragos, Peter Rowlinson, Zoran Stanic, and Myung-Gon Yoon. "Controllable graphs with least eigenvalue at least -2." Applicable Analysis and Discrete Mathematics 5, no. 2 (2011): 165–75. http://dx.doi.org/10.2298/aadm110909022c.

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Connected graphs whose eigenvalues are distinct and main are called controllable graphs in view of certain applications in control theory. We give some general characterizations of the controllable graphs whose least eigenvalue is bounded from below by - 2; in particular, we determine all the controllable exceptional graphs. We also investigate the controllable graphs whose second largest eigenvalue does not exceed 1.

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12

Cvetkovic, Dragos, and Mirko Lepovic. "Cospectral graphs with least eigenvalue at least -2." Publications de l'Institut Math?matique (Belgrade) 78, no. 92 (2005): 51–63. http://dx.doi.org/10.2298/pim0578051c.

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We study the phenomenon of cospectrality in generalized line graphs and in exceptional graphs. We survey old results from today's point o view and obtain some new results partly by the use of compute. Among.other things we show that a connected generalized line graph L(H) has an exceptional cospectral mate only if its root graph H, assuming it is itself connected has at most 9 vertices. The paper contains a description of a table of sets of cospectral graphs with least eigenvalue at least ?2 and at most 8 vertices together with some comments and theoretical explanations of the phenomena sugges

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13

Ramm, Ekkehard. "Principles of Least Action and of Least Constraint." GAMM-Mitteilungen 34, no. 2 (2011): 164–82. http://dx.doi.org/10.1002/gamm.201110026.

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14

Kiers, Henk A. L. "Weighted least squares fitting using ordinary least squares algorithms." Psychometrika 62, no. 2 (1997): 251–66. http://dx.doi.org/10.1007/bf02295279.

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15

Duan, Junbo, Jerome Idier, Yu-Ping Wang, and Mingxi Wan. "A Joint Least Squares and Least Absolute Deviation Model." IEEE Signal Processing Letters 26, no. 4 (2019): 543–47. http://dx.doi.org/10.1109/lsp.2019.2897863.

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16

Ziemer, William P., and Kevin Zumbrun. "The obstacle problem for functions of least gradient." Mathematica Bohemica 124, no. 2 (1999): 193–219. http://dx.doi.org/10.21136/mb.1999.126244.

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17

Jeníček, V., and Š. Grofová. "Least developed countries – the case of Burundi." Agricultural Economics (Zemědělská ekonomika) 61, No. 5 (2016): 234–47. http://dx.doi.org/10.17221/48/2014-agricecon.

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18

Kryah, Joshua. "The Least Child." Iowa Review 41, no. 1 (2011): 157. http://dx.doi.org/10.17077/0021-065x.7004.

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19

Thorson, Alice. "America’s Least Wanted." Afterimage 18, no. 4 (1990): 19. http://dx.doi.org/10.1525/aft.1990.18.4.19.

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20

McKelligan, Marcia A. "Least Worst Death." International Studies in Philosophy 29, no. 2 (1997): 110–11. http://dx.doi.org/10.5840/intstudphil199729241.

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21

Ward, J. "Revisiting least squares." Teaching Mathematics and its Applications 17, no. 1 (1998): 19–21. http://dx.doi.org/10.1093/teamat/17.1.19.

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22

Qiu, Peihua. "Generalized Least Squares." Technometrics 47, no. 4 (2005): 519. http://dx.doi.org/10.1198/tech.2005.s323.

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23

GRANT, IAN H. W. M. "Recursive Least Squares." Teaching Statistics 9, no. 1 (1987): 15–18. http://dx.doi.org/10.1111/j.1467-9639.1987.tb00614.x.

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24

White, Stephen. "Least Restrictive Employment." Career Development for Exceptional Individuals 10, no. 1 (1987): 33–41. http://dx.doi.org/10.1177/088572888701000107.

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25

Hansen, Bruce E. "Perpendicular Least Squares." Econometric Theory 6, no. 4 (1990): 485. http://dx.doi.org/10.1017/s0266466600005491.

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26

Goerlich, Francisco. "Perpendicular Least Squares." Econometric Theory 8, no. 01 (1992): 147–48. http://dx.doi.org/10.1017/s0266466600010860.

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27

Robins, James. "Partial-Least Squares." Long Range Planning 45, no. 5-6 (2012): 309–11. http://dx.doi.org/10.1016/j.lrp.2012.10.002.

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28

Thomas, Stephen B., and Mary Jane K. Rapport. "Least Restrictive Environment." Journal of Special Education 32, no. 2 (1998): 66–78. http://dx.doi.org/10.1177/002246699803200201.

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29

White, D. J. "Least elements revisited." Journal of Optimization Theory and Applications 65, no. 1 (1990): 117–28. http://dx.doi.org/10.1007/bf00941163.

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30

Diamond, Phil. "Fuzzy least squares." Information Sciences 46, no. 3 (1988): 141–57. http://dx.doi.org/10.1016/0020-0255(88)90047-3.

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31

Tibshirani, Robert, Iain Johnstone, Trevor Hastie, and Bradley Efron. "Least angle regression." Annals of Statistics 32, no. 2 (2004): 407–99. http://dx.doi.org/10.1214/009053604000000067.

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32

Kuritzkes, Daniel R., James G. Hakim, and Ian Sanne. "Least Among Equals." Clinical Infectious Diseases 54, no. 6 (2012): 876–77. http://dx.doi.org/10.1093/cid/cir1048.

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33

Fearn, Tom. "Classical Least Squares." NIR news 21, no. 7 (2010): 16–17. http://dx.doi.org/10.1255/nirn.1209.

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34

Epstein, Larry G., and Jiankang Zhang. "Least convex capacities." Economic Theory 13, no. 2 (1999): 263–86. http://dx.doi.org/10.1007/s001990050254.

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35

Sharma, Ashish, Kumar G. Chhabra, Gururaghavendran Rajesh, Almas Binnal, Chaya Chhabra, and Akanksha Goyal. "Pharmacovigilance: The Least Understood and Least Practiced Science in Dentistry." World Journal of Dentistry 10, no. 5 (2019): 402–6. http://dx.doi.org/10.5005/jp-journals-10015-1661.

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36

Kaufman, L. "Maximum likelihood, least squares, and penalized least squares for PET." IEEE Transactions on Medical Imaging 12, no. 2 (1993): 200–214. http://dx.doi.org/10.1109/42.232249.

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37

Amiri-Simkooei, A., and S. Jazaeri. "Weighted total least squares formulated by standard least squares theory." Journal of Geodetic Science 2, no. 2 (2012): 113–24. http://dx.doi.org/10.2478/v10156-011-0036-5.

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Weighted total least squares formulated by standard least squares theoryThis contribution presents a simple, attractive, and flexible formulation for the weighted total least squares (WTLS) problem. It is simple because it is based on the well-known standard least squares theory; it is attractive because it allows one to directly use the existing body of knowledge of the least squares theory; and it is flexible because it can be used to a broad field of applications in the error-invariable (EIV) models. Two empirical examples using real and simulated data are presented. The first example, a li

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38

Boswijk, Peter, and Heinz Neudecker. "An Inequality Between Perpendicular Least-Squares and Ordinary Least-Squares." Econometric Theory 10, no. 2 (1994): 441–42. http://dx.doi.org/10.1017/s0266466600008537.

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39

Farebrother, R. W. "An Inequality between Perpendicular Least Squares and Ordinary Least Squares." Econometric Theory 11, no. 4 (1995): 807–8. http://dx.doi.org/10.1017/s0266466600009853.

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40

Hobbs, Benjamin F., and Sushil K. Nelson. "Assessing conservation payments: Least-cost, least-rates, or most-value?" Electricity Journal 2, no. 6 (1989): 28–39. http://dx.doi.org/10.1016/1040-6190(89)90023-7.

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41

Cheney, James, Jeremy Gibbons, James McKinna, and Perdita Stevens. "On principles of Least Change and Least Surprise for bidirectional transformations." Journal of Object Technology 16, no. 1 (2017): 3:1. http://dx.doi.org/10.5381/jot.2017.16.1.a3.

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42

Liu, Qiaohua, Chuge Li, and Yimin Wei. "Condition numbers of multidimensional mixed least squares-total least squares problems." Applied Numerical Mathematics 178 (August 2022): 52–68. http://dx.doi.org/10.1016/j.apnum.2022.03.014.

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43

Kalsi, Anoop, and Dianne P. O'Leary. "Fast Algorithms for Structured Least Squares and Total Least Squares Problems." Journal of Research of the National Institute of Standards and Technology 111, no. 2 (2006): 113. http://dx.doi.org/10.6028/jres.111.010.

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44

Conrad Susan L., MD, and Gary R. Collin. "THE LEAST EXPENSIVE, LEAST COMPLICATED METHOD FOR PLACING NASOENTERIC FEEDING TUBES." Critical Care Medicine 26, Supplement (1998): 90A. http://dx.doi.org/10.1097/00003246-199801001-00237.

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45

Drew, Mark S., and Hamid Reza Vaezi Joze. "Planckian regression temperature for least spectral error and least CIELAB error." Journal of the Optical Society of America A 28, no. 9 (2011): 1954. http://dx.doi.org/10.1364/josaa.28.001954.

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46

Weiss, Andrew A. "A Comparison of Ordinary Least Squares and Least Absolute Error Estimation." Econometric Theory 4, no. 3 (1988): 517–27. http://dx.doi.org/10.1017/s0266466600013438.

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In a linear-regression model with heteroscedastic errors, we consider two tests: a Hausman test comparing the ordinary least squares (OLS) and least absolute error (LAE) estimators and a test based on the signs of the errors from OLS. It turns out that these are related by the well-known equivalence between Hausman and the generalized method of moments tests. Particular cases, including homoscedasticity and asymmetry in the errors, are discussed.

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47

Li, Dan, and Jixiang Meng. "The graphs with the least distance eigenvalue at least −1+172." Linear Algebra and its Applications 493 (March 2016): 358–80. http://dx.doi.org/10.1016/j.laa.2015.10.028.

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48

Van Huffel, Sabine, and Joos Vandewalle. "Algebraic connections between the least squares and total least squares problems." Numerische Mathematik 55, no. 4 (1989): 431–49. http://dx.doi.org/10.1007/bf01396047.

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49

Levin, David. "Between moving least-squares and moving least- $$\ell _1$$ ℓ 1". BIT Numerical Mathematics 55, № 3 (2014): 781–96. http://dx.doi.org/10.1007/s10543-014-0522-0.

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50

Giloni, A., and M. Padberg. "Least trimmed squares regression, least median squares regression, and mathematical programming." Mathematical and Computer Modelling 35, no. 9-10 (2002): 1043–60. http://dx.doi.org/10.1016/s0895-7177(02)00069-9.

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