because the WS may consist of multiple operations. Thus‚ the authors adopted finite state machine to determine the Web service (WS) operations invocation sequences. Additionally‚ the authors defined an aggregated reliability (AR) to measure the probabilities of leading to successful execution in a failure-prone environment. Then‚ the authors had proved that the AR computation equals to the calculation of the eigenvector. They proposed to derive AR using a power method. Besides‚ the authors proposed
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Prospect Theory: An Analysis of Decision under Risk Daniel Kahneman; Amos Tversky Econometrica‚ Vol. 47‚ No. 2. (Mar.‚ 1979)‚ pp. 263-292. Stable URL: http://links.jstor.org/sici?sici=0012-9682%28197903%2947%3A2%3C263%3APTAAOD%3E2.0.CO%3B2-3 Econometrica is currently published by The Econometric Society. Your use of the JSTOR archive indicates your acceptance of JSTOR’s Terms and Conditions of Use‚ available at http://www.jstor.org/about/terms.html. JSTOR’s Terms and Conditions of Use provides
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Sampling Techniques Worksheet For each description of sampling‚ decide if the sampling technique is A. Simple Random B. Stratified C. Cluster D. Systematic E. Convenience 1. In order to estimate the percentage of defects in a recent manufacturing batch‚ a quality control manager at Intel selected every 8th chip that comes off the assembly line starting with the 3rd‚ until she obtains a sample of 140 chips. 2. In order to determine the average IQ of ninth-grade students‚ a school psychologist
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Comparison of 3 best calculators (summary): .............................................................. 23 Chapter 3 Find E ( X )‚Var ( X )‚ E ( X | Y )‚Var ( X | Y ) ........................................... 27 Chapter 4 Set‚ sample space‚ probability....................................................... 44 Chapter 5 Multiplication/addition rule‚ counting problems ................... 53 Chapter 6
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could affect Nicolas balance standing up. Probability:3 Severity:4 Total risk: 12 Take a different route or assess the path/road way‚ and guide her right around the glass‚ giving her a safe route. Observe Nicola right around the glass thoroughly. Uneven Ground Due to Nicola being partially sighted and needing a Zimmer frame for steadiness‚ she may not be able to see and feel that the pavement isn’t flat and has bumps and indents and could trip. Probability: 4 Severity:3 Total risk: 12 Watch Nicolas
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Zero Knowledge Authentication Scheme based on Discrete Log Vineeth Pillai Department of Computer Science‚ Illinois Institute of Technology‚ Chicago‚ USA vipillai@hawk.iit.edu‚ CWID: A20260824 April 26‚ 2012 Abstract: This paper details a variant of the parallel version of zero knowledge proof of identity which tries to optimize the space usage and number of iteration by not sacrificing the soundness factor. This protocol could a suitable candidate for smart card based authentication schemes
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کورنش تای قلب بون بیف رب ویل رب ویل نک Introduction: A fixed coordinate system is a system in which the points are represented using a set of co-ordinates or numbers. The order of the coordinates is knIntroduction: The probability is one of the sampling techniques of choosing the equivalent elements. These are specified as random sampling. The sampling is helped to develop the sampling frame; it selects the elements as randomly. The sampling can be done through the replacement
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15 percent probability of a boom‚ a 75 percent chance of a normal economy‚ and a 10 percent chance of a recession. What is your expected rate of return on this stock? a. 5.00 percent b. 6.45 percent c. 7.30 percent d. 7.65 percent e. 8.30 percent EXPECTED RETURN a 61. The Inferior Goods Co. stock is expected to earn 14 percent in a recession‚ 6 percent in a normal economy‚ and lose 4 percent in a booming economy. The probability of a boom is
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and graphs; algebra and coordinate geometry; | |simultaneous linear equations; polynomial and quadratic functions and equations; calculus‚ including bilinear‚ exponential and logarithmic | |functions; two dimensional vectors and matrices; and probability. | | | |MPS Adopted Textbook/Instructional
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in this case‚ the sample size is 64-bottles of beers are large enough to assume the distribution for a probability is approximately normal nπ=64(0.5)=32>5n1-π=641-0.5=32>5 Among the three new machines‚ the population mean was obtained at 16 ounces with a standard deviation of .16 ounces. By obtaining a Z-score at -.35 for the sampling distribution‚ it’s believed that the probability of the new machines producing a group of 64 bottles with a mean of 15.993 ounces will be 36.32% In another
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