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JS: ExpectancyValue Theory of Achievement Motivation
 Contemporary Educational Psychology
"... We discuss the expectancy–value theory of motivation, focusing on an expectancy–value model developed and researched by Eccles, Wigfield, and their colleagues. Definitions of crucial constructs in the model, including ability beliefs, expectancies for success, and the components of subjective task v ..."
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Cited by 310 (2 self)
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We discuss the expectancy–value theory of motivation, focusing on an expectancy–value model developed and researched by Eccles, Wigfield, and their colleagues. Definitions of crucial constructs in the model, including ability beliefs, expectancies for success, and the components of subjective task
Expected Value
"... What is the largest prime factor of the next integer after the largest known factorial prime? ..."
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What is the largest prime factor of the next integer after the largest known factorial prime?
Expectation Value in Bell ′ s Theorem
, 2008
"... We will demonstrate in this paper that Bell ′ s theorem (Bell ′ s inequality) does not really conflict with quantum mechanics, the controversy between them originates from the different definitions for the expectation value using the probability distribution in Bell ′ s inequality and the expectatio ..."
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We will demonstrate in this paper that Bell ′ s theorem (Bell ′ s inequality) does not really conflict with quantum mechanics, the controversy between them originates from the different definitions for the expectation value using the probability distribution in Bell ′ s inequality
ON EXPECTED VALUES OF MARKOV STATISTICS By
"... In this paper we give both forward and backward iterative algorithms for computing expected value of some associative statistics associated with a stationary Markov chain on finite state space. Both algorithms are based upon an invariant imbedding technique in dynamic programming. 1. ..."
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In this paper we give both forward and backward iterative algorithms for computing expected value of some associative statistics associated with a stationary Markov chain on finite state space. Both algorithms are based upon an invariant imbedding technique in dynamic programming. 1.
On the Expected Value of the Minimum Assignment
, 2000
"... The minimum kassignment of an m×n matrix X is the minimum sum of k entries of X, no two of which belong to the same row or column. If X is generated by choosing each entry independently from the exponential distribution with mean 1, then Coppersmith and Sorkin conjectured that the expected value of ..."
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The minimum kassignment of an m×n matrix X is the minimum sum of k entries of X, no two of which belong to the same row or column. If X is generated by choosing each entry independently from the exponential distribution with mean 1, then Coppersmith and Sorkin conjectured that the expected value
Negative Expected Value Suits
 NBER Working Paper Series Paper no. W6474
, 1998
"... This essay discusses the existing theories as to why (and when) plaintiffs with negativeexpectedvalue suits can extract a positive settlement amount from the defendant. DEFINITION OF NEV SUITS. A negativeexpectedvalue (NEV) suit is one in which the plaintiff would obtain a negative expected retu ..."
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Cited by 1 (0 self)
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This essay discusses the existing theories as to why (and when) plaintiffs with negativeexpectedvalue suits can extract a positive settlement amount from the defendant. DEFINITION OF NEV SUITS. A negativeexpectedvalue (NEV) suit is one in which the plaintiff would obtain a negative expected
On The Expected Value Of Games With Absentmindedness
 Games and Economic Behavior
, 1997
"... Piccione and Rubinstein argue that a seemingly paradoxical form of time inconsistency can arise in games of imperfect recall. Their argument depends on calculating the expected value of a game from the standpoint of a player in the middle of play. We claim that this concept is not well defined in g ..."
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Cited by 14 (4 self)
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Piccione and Rubinstein argue that a seemingly paradoxical form of time inconsistency can arise in games of imperfect recall. Their argument depends on calculating the expected value of a game from the standpoint of a player in the middle of play. We claim that this concept is not well defined
The Expected Value Premium
, 2006
"... This paper can be downloaded without charge from the ..."
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Cited by 11 (2 self)
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This paper can be downloaded without charge from the
Liquidity Risk and Expected Stock Returns
, 2002
"... This study investigates whether marketwide liquidity is a state variable important for asset pricing. We find that expected stock returns are related crosssectionally to the sensitivities of returns to fluctuations in aggregate liquidity. Our monthly liquidity measure, an average of individualsto ..."
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Cited by 596 (5 self)
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This study investigates whether marketwide liquidity is a state variable important for asset pricing. We find that expected stock returns are related crosssectionally to the sensitivities of returns to fluctuations in aggregate liquidity. Our monthly liquidity measure, an average of individual
The expected value of information and the probability of surprise
 Risk Anal
, 1999
"... Risk assessors attempting to use probabilistic approaches to describe uncertainty often find themselves in a datasparse situation: available data are only partially relevant to the parameter of interest, so one needs to adjust empirical distributions, use explicit judgmental distributions, or colle ..."
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Cited by 16 (1 self)
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, or collect new data. In determining whether or not to collect additional data, whether by measurement or by elicitation of experts, it is useful to consider the expected value of the additional information. The expected value of information depends on the prior distribution used to represent current
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