Results 261 to 270 of about 166,858,438 (333)
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Errors in probability updating behaviour
Journal of Economic Psychology, 1998Abstract It is an empirical fact of life that decision makers make errors in probability updating. In this paper we develop a model to measure this error in a consistent and comparable way (i.e. across different cases the same scale of measurement is involved).
Ouwersloot, J. +2 more
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IEEE Internet of Things Journal, 2021
In this article, we consider a multiple-input–multiple-output (MIMO) system serving Internet of Things (IoT) devices. To satisfy stringent requirements on the latency of IoT communications, the IoT devices communicate in the finite blocklength regime ...
Jinseok Choi, Jeonghun Park
semanticscholar +1 more source
In this article, we consider a multiple-input–multiple-output (MIMO) system serving Internet of Things (IoT) devices. To satisfy stringent requirements on the latency of IoT communications, the IoT devices communicate in the finite blocklength regime ...
Jinseok Choi, Jeonghun Park
semanticscholar +1 more source
2014
This chapter provides an overview of three probability errors and their impact on legal scholarship. Overoptimism causes people to underestimate their likelihood of experiencing negative events, to overestimate their likelihood of experiencing positive events, and to be overly confident in each of these judgments. Overoptimism can help explain numerous
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This chapter provides an overview of three probability errors and their impact on legal scholarship. Overoptimism causes people to underestimate their likelihood of experiencing negative events, to overestimate their likelihood of experiencing positive events, and to be overly confident in each of these judgments. Overoptimism can help explain numerous
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The Effect of Phase Error on DPSK Error Probability
IEEE Transactions on Communications, 1981Expressions are found for the effect of an error in the delay of the preceding signal, which provides the reference phase for the decoding of the present signal in differential phase-shift-keying reception. The signal-to-noise ratio is allowed to be different for the two signals that are compared by the receiver's phase detector.
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Circular Error Probables for Moving Targets: The Dynamic Error Probable
Journal of Guidance, Control, and Dynamics, 2016In this note we extend the static shooter accuracy Circular Error Probable (CEP) model to deal with moving targets. Our proposed model, the Dynamic Error Probable (DEP), computes shooter aiming and directional uncertainty error statistics by fitting three-dimensional gaussians to shooter behaviour and generating error corridors about the target ...
Chris Stewart +3 more
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Symbol-Error Probability and Bit-Error Probability for Optimum Combining With MPSK Modulation
IEEE Transactions on Communications, 2004New expressions are derived for the exact symbol error probability and bit-error probability for optimum combining with multiple phase-shift keying. The expressions are for any numbers of equal-power cochannel interferers and receive branches. It is assumed that the aggregate interference and noise is Gaussian and that both the desired signal and ...
Debang Lao, Alexander M. Haimovich
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The Probability Distribution of Conditional Classification Error
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1980The probability distribution of the error incurred by a classification system on a given data set is derived. It is shown that the distribution is mixed binomial. A method for calculating the mixed binomial distribution recursively is proposed.
Josef Kittler, Pierre A. Devijver
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Error Probabilities for Bounded Distance Decoding
Designs, Codes and Cryptography, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Andreas Faldum +3 more
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Truncation Error Probability in Viterbi Decoding
IEEE Transactions on Communications, 1977An upper bound on the bit error probability due to truncation of the path length in Viterbi decoding is obtained for any given convolutional code. This bound is then used to determine the path length at which the additional error probability due to truncation becomes negligible compared to the maximum likelihood decoding error probability.
Farhad Hemmati, Daniel J. Costello Jr.
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Relations between entropy and error probability
IEEE Transactions on Information Theory, 1994Summary: The relation between the entropy of a discrete random variable and the minimum attainable probability of error made in guessing its value is examined. While Fano's inequality provides a tight lower bound on the error probability in terms of the entropy, we derive a converse result -- a tight upper bound on the minimal error probability in ...
Meir Feder, Neri Merhav
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