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Journal articles on the topic 'Expected'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 April 2022

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1

Berliner, Todd. "Expect the Expected: Aesthetics of Planting and Payoff." Narrative 28, no. 2 (2020): 174–99. http://dx.doi.org/10.1353/nar.2020.0009.

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2

Lettau, Martin, and Sydney C. Ludvigson. "Expected returns and expected dividend growth." Journal of Financial Economics 76, no. 3 (June 2005): 583–626. http://dx.doi.org/10.1016/j.jfineco.2004.05.008.

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3

Rytchkov, Oleg. "Filtering Out Expected Dividends and Expected Returns." Quarterly Journal of Finance 02, no. 03 (September 2012): 1250012. http://dx.doi.org/10.1142/s2010139212500127.

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This paper applies a state space approach to the analysis of stock return predictability. It acknowledges that expected returns and expected dividends are unobservable and uses the Kalman filter to extract them from the observed history of realized dividends and returns. The suggested approach explicitly takes into account the time variation in expected dividend growth rates and exploits the present value relation. The obtained predictors for future returns are robust to structural breaks in the means of expected dividends and returns and more efficient than the dividend–price ratio. The likelihood ratio test reliably rejects the hypothesis of constant expected returns.

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4

Fink, Jason D., Kristin E. Fink, and Hui He. "Expected Idiosyncratic Volatility Measures and Expected Returns." Financial Management 41, no. 3 (July 24, 2012): 519–53. http://dx.doi.org/10.1111/j.1755-053x.2012.01209.x.

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5

Telci, Lütfi. "Expected Death." Turkish Journal of Intensive Care 18, no. 3 (September 11, 2020): 115–21. http://dx.doi.org/10.4274/tybd.galenos.2020.06641.

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6

MURAKAMI, Satoshi. "Expected Engineers." Journal of the Japan Society for Technology of Plasticity 53, no. 619 (2012): 667. http://dx.doi.org/10.9773/sosei.53.667.

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7

FLETCHER, R. "Expected Conditioning." IMA Journal of Numerical Analysis 5, no. 3 (1985): 247–73. http://dx.doi.org/10.1093/imanum/5.3.247.

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8

HELZNER, JEFFREY. "EXPECTED CONTENT." Review of Symbolic Logic 1, no. 4 (December 2008): 424–32. http://dx.doi.org/10.1017/s1755020308090035.

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We propose an approach to assigning propositional content to deliberate acts of arbitrary type, as opposed to just speech acts. This approach, which is based on the idea that the content of an act is the decision maker's expectation concerning the change that would take place if the act were to be performed, is shown to be related to the concept of expected utility that has played a central role in various accounts of rationality.

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9

Clapp, John M., John P. Harding, and Michael Lacour-Little. "Expected Mobility." Journal of Fixed Income 10, no. 1 (June 30, 2000): 68–78. http://dx.doi.org/10.3905/jfi.2000.319238.

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10

Young, Katherine. "Expected Face." Women and Music: A Journal of Gender and Culture 25, no. 1 (2021): 55–63. http://dx.doi.org/10.1353/wam.2021.0004.

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11

Anzer, Gabriel, and Pascal Bauer. "Expected passes." Data Mining and Knowledge Discovery 36, no. 1 (January 2022): 295–317. http://dx.doi.org/10.1007/s10618-021-00810-3.

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AbstractPasses are by far football’s (soccer) most frequent event, yet surprisingly little meaningful research has been devoted to quantify them. With the increase in availability of so-called positional data, describing the positioning of players and ball at every moment of the game, our work aims to determine the difficulty of every pass by calculating its success probability based on its surrounding circumstances. As most experts will agree, not all passes are of equal difficulty, however, most traditional metrics count them as such. With our work we can quantify how well players can execute passes, assess their risk profile, and even compute completion probabilities for hypothetical passes by combining physical and machine learning models. Our model uses the first 0.4 seconds of a ball trajectory and the movement vectors of all players to predict the intended target of a pass with an accuracy of $$93.0\%$$ 93.0 % for successful and $$72.0\%$$ 72.0 % for unsuccessful passes much higher than any previously published work. Our extreme gradient boosting model can then quantify the likelihood of a successful pass completion towards the identified target with an area under the curve (AUC) of $$93.4\%$$ 93.4 % . Finally, we discuss several potential applications, like player scouting or evaluating pass decisions.

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12

Papadatos, Nickos. "On sequences of expected maxima and expected ranges." Journal of Applied Probability 54, no. 4 (November 30, 2017): 1144–66. http://dx.doi.org/10.1017/jpr.2017.57.

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Abstract We investigate conditions in order to decide whether a given sequence of real numbers represents expected maxima or expected ranges. The main result provides a novel necessary and sufficient condition, relating an expected maxima sequence to a translation of a Bernstein function through its Lévy–Khintchine representation.

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13

Zhang, Jiankang. "Subjective ambiguity, expected utility and Choquet expected utility." Economic Theory 20, no. 1 (August 1, 2002): 159–81. http://dx.doi.org/10.1007/s001990100207.

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14

Jadhav, Ganesh. "Covid associated mucormycosis of the jaw: Expect the un-expected." Journal of Global Oral Health 4 (December 31, 2021): 129–31. http://dx.doi.org/10.25259/jgoh_16_2021.

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15

Copeland, Thomas E. "From Expected Cash Flows to Real Options." Multinational Finance Journal 14, no. 1/2 (June 1, 2010): 1–27. http://dx.doi.org/10.17578/14-1/2-1.

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16

Won, Eugene J. S. "Modeling the Relationship between Expected Gain and Expected Value." ASIA MARKETING JOURNAL 18, no. 3 (October 31, 2016): 47. http://dx.doi.org/10.15830/amj.2016.18.3.47.

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17

Robson, Arthur J. "A Biological Basis for Expected and Non-expected Utility." Journal of Economic Theory 68, no. 2 (February 1996): 397–424. http://dx.doi.org/10.1006/jeth.1996.0023.

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18

Gunasingham, Brindha. "Expected Idiosyncratic Skewness." CFA Digest 40, no. 2 (May 2010): 8–9. http://dx.doi.org/10.2469/dig.v40.n2.28.

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19

Yelena Mukhametshina. "NO SENSATIONS EXPECTED." Current Digest of the Post-Soviet Press, The 68, no. 039-040 (September 26, 2016): 15. http://dx.doi.org/10.21557/dsp.47655109.

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20

Black, Fischer. "Estimating Expected Return." Financial Analysts Journal 49, no. 5 (September 1993): 36–38. http://dx.doi.org/10.2469/faj.v49.n5.36.

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21

Black, Fischer. "Estimating Expected Return." Financial Analysts Journal 51, no. 1 (January 1995): 168–71. http://dx.doi.org/10.2469/faj.v51.n1.1873.

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22

Comerford, Cathy. "Beyond the expected." Nursing Standard 29, no. 52 (August 26, 2015): 63. http://dx.doi.org/10.7748/ns.29.52.63.s48.

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23

Summers, Lawrence H. "Predicting Expected Return." ICFA Continuing Education Series 1990, no. 1 (January 1990): 13–21. http://dx.doi.org/10.2469/cp.v1990.n1.3.

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24

Ilmanen, Antti. "Understanding Expected Returns." CFA Institute Conference Proceedings Quarterly 29, no. 2 (June 2012): 55–63. http://dx.doi.org/10.2469/cp.v29.n2.3.

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25

Lentin, Ronit. "Expected to live." Women's Studies International Forum 23, no. 6 (November 2000): 689–700. http://dx.doi.org/10.1016/s0277-5395(00)00141-2.

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26

Robison, Lindon J., Robert S. Shupp, and Robert J. Myers. "Expected utility paradoxes." Journal of Socio-Economics 39, no. 2 (April 2010): 187–93. http://dx.doi.org/10.1016/j.socec.2009.12.005.

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27

Philips, Thomas K. "Estimating Expected Returns." Journal of Investing 12, no. 3 (August 31, 2003): 49–57. http://dx.doi.org/10.3905/joi.2003.319554.

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28

Mohar, Bojan, and Tamon Stephen. "Expected Crossing Numbers." Electronic Notes in Discrete Mathematics 38 (December 2011): 651–56. http://dx.doi.org/10.1016/j.endm.2011.10.009.

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29

Hogan, John E. "Expected Relationship Value." Industrial Marketing Management 30, no. 4 (May 2001): 339–51. http://dx.doi.org/10.1016/s0019-8501(01)00152-3.

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30

SELTZER, MILDRED M., and LILLIAN E. TROLL. "Expected Life History." American Behavioral Scientist 29, no. 6 (July 1986): 746–64. http://dx.doi.org/10.1177/000276486029006008.

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31

Gul, Faruk, and Wolfgang Pesendorfer. "Random Expected Utility." Econometrica 74, no. 1 (January 2006): 121–46. http://dx.doi.org/10.1111/j.1468-0262.2006.00651.x.

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32

Kıyak, Görkem, and Tanıl Esemenli. "Expected bony contact." Foot & Ankle Orthopaedics 3, no. 3 (July 1, 2018): 2473011418S0029. http://dx.doi.org/10.1177/2473011418s00294.

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Category: Bunion Introduction/Purpose: Hallux Valgus has been traditionally quantitated by measuring Hallux Valgus Angle (HVA) and Intermetatarsal Angle (IMA). Classic treatment algorithms based on angular measurements limits the use of distal chevron osteotomy to cases with an IMA less than 15º, assuming possible correction is only 4-6º which is equivalent to 4 – 6 mm displacement. There are studies confirming that larger displacement distal osteotomies can be safely performed. Since distal metatarsal osteotomies provide a correction by shifting, we have created a new algorithm based on the expected bony contact and aim to use the full potential of the distal chevron osteotomy. The purpose of the present study is to investigate if this new concept is more reliable than the widely accepted angular measurements in hallux valgus surgery. Methods: Patients with symptomatic hallux valgus subdivided as mild, moderate and severe hallux valgus using traditional angular radiologic measurements. After excluding the mild cases we calculated the expected bony contact by measuring the width of metatarsal head, and the required amount of lateral shifting. We performed a modified chevron osteotomy with extended plantar limb for the cases if the expected bony contact is more than 20%. We excluded patients with congenital deformities of the foot, hallux rigidus, tarsometatarsal (TMT) instability previous first ray trauma or foot and ankle surgery, diagnosis of rheumatic, dysmetabolic, neurologic, infective or psychiatric pathologies. The 100-point AOFAS hallux-metatarso-phalangeal-interphalangeal scale was used to assess the clinical outcome. We also recorded per and postoperative complications like infection, hallux varus, recurrence, etc. Radiologic measurements recorded for statistical analysis. Results: There were 24 patients suitable for chevron osteotomy according to our classification. We also subdivided our patients as moderate (14) and severe hallux valgus (10) with traditional classification. Table shows the Radiographic results and AOFAS scores by groups Paired t-tests showed significant improvement comparing pre-op and post-op AOFAS scores, IMA, HVA and sesamoid position of moderate, severe and all patient subgroups. (p<0.001) Unpaired t-tests showed that the difference is not significant between moderate and severe subgroups when we compare post-op AOFAS scores, IMA, HVA and sesamoid position. (p>0.05) The difference between the expected bony contacts was not statistically significant in the moderate and severe subgroups. Conclusion: Modified chevron osteotomy performed well enough radiologically and from the perspective of patient satisfaction when used according to the new concept of “expected bony contact” criteria. Dividing patients into angular subgroups did not affect the results of modified chevron osteotomy. The amount of possible lateral translation is not correlated with IMA and HVA. Our study has shown that expected bony contact is a reliable criteria and superior to angular measurements for preoperative planning in hallux valgus surgery.

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33

La Mura, Pierfrancesco. "Projective expected utility." Journal of Mathematical Psychology 53, no. 5 (October 2009): 408–14. http://dx.doi.org/10.1016/j.jmp.2009.02.001.

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34

Gill, Dipender, Rhannon Lobo, Prasanthi Sivakumaran, and Arindam Kar. "Expected thrombectomy caseload." International Journal of Stroke 11, no. 7 (July 9, 2016): NP76. http://dx.doi.org/10.1177/1747493016641115.

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35

Boyer, Brian, Todd Mitton, and Keith Vorkink. "Expected Idiosyncratic Skewness." Review of Financial Studies 23, no. 1 (June 3, 2009): 169–202. http://dx.doi.org/10.1093/rfs/hhp041.

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36

Keiding, Niels, and Michael Væth. "Calculating expected mortality." Statistics in Medicine 5, no. 4 (July 1986): 327–34. http://dx.doi.org/10.1002/sim.4780050405.

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37

Greenland, Sander, and Ulf Strömberg. "Fractional Expected Numbers." Epidemiology 6, no. 4 (July 1995): 463. http://dx.doi.org/10.1097/00001648-199507000-00030.

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38

Greenland, Sander, and Ulf Strömberg. "Fractional Expected Numbers." Epidemiology 6, no. 4 (July 1995): 463. http://dx.doi.org/10.1097/00001648-199507000-00031.

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39

Cole, B. J. "Expected Relatedness: Correction." Science 286, no. 5437 (October 1, 1999): 49f—49. http://dx.doi.org/10.1126/science.286.5437.49f.

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40

Kountzakis, Christos E. "Expected Shortfall spaces." Applied Mathematical Sciences 8 (2014): 5463–67. http://dx.doi.org/10.12988/ams.2014.43223.

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41

Kamalov, Firuz. "Expected information gain." Applied Mathematical Sciences 11 (2017): 2377–82. http://dx.doi.org/10.12988/ams.2017.7260.

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42

Coval, Joshua D., and Tyler Shumway. "Expected Option Returns." Journal of Finance 56, no. 3 (June 2001): 983–1009. http://dx.doi.org/10.1111/0022-1082.00352.

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43

Isenberg, Steven F. "Expected Payment Variance." Ear, Nose & Throat Journal 81, no. 12 (December 2002): 829. http://dx.doi.org/10.1177/014556130208101208.

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44

Puig-Domingo, Manel, and Edelmiro Menéndez-Torre. "An expected fusion." Endocrinología y Nutrición (English Edition) 62, no. 6 (June 2015): 255–56. http://dx.doi.org/10.1016/j.endoen.2015.06.006.

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45

Amarante, Massimiliano. "Conditional expected utility." Theory and Decision 83, no. 2 (March 29, 2017): 175–93. http://dx.doi.org/10.1007/s11238-017-9597-9.

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46

Blavatskyy, Pavlo. "Expected discounted utility." Theory and Decision 88, no. 2 (August 23, 2019): 297–313. http://dx.doi.org/10.1007/s11238-019-09718-3.

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47

Ball, Ray, and S. P. Kothari. "Nonstationary expected returns." Journal of Financial Economics 25, no. 1 (November 1989): 51–74. http://dx.doi.org/10.1016/0304-405x(89)90096-2.

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48

Walz, Daniel T., and Roger W. Spencer. "Forecasting expected money." Atlantic Economic Journal 20, no. 2 (June 1992): 98. http://dx.doi.org/10.1007/bf02298884.

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49

Mathieu-Nicot, Bernadette. "Fuzzy expected utility." Fuzzy Sets and Systems 20, no. 2 (October 1986): 163–73. http://dx.doi.org/10.1016/0165-0114(86)90075-8.

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50

Aliev, Iskander, Martin Henk, and Aicke Hinrichs. "Expected Frobenius numbers." Journal of Combinatorial Theory, Series A 118, no. 2 (February 2011): 525–31. http://dx.doi.org/10.1016/j.jcta.2009.12.012.

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