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2017
In this chapter, we are interested in the convergence in distribution of suitably normalized partial sums of a strongly mixing and stationary sequence of real-valued random variables. In Sect. 4.2, we give the extension of Ibragimov’s central limit theorem for partial sums of a strongly mixing sequence of bounded random variables to unbounded random ...
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In this chapter, we are interested in the convergence in distribution of suitably normalized partial sums of a strongly mixing and stationary sequence of real-valued random variables. In Sect. 4.2, we give the extension of Ibragimov’s central limit theorem for partial sums of a strongly mixing sequence of bounded random variables to unbounded random ...
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1998
In previous activities you have sampled candies, rolled dice, and performed Minitab simulations to discover that while the value of a sample statistic varies from sample to sample, there is a very precise long-term pattern to that variation. In the last activity you learned how to use normal distributions to perform probability calculations. This topic
Allan J. Rossman, Beth L. Chance
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In previous activities you have sampled candies, rolled dice, and performed Minitab simulations to discover that while the value of a sample statistic varies from sample to sample, there is a very precise long-term pattern to that variation. In the last activity you learned how to use normal distributions to perform probability calculations. This topic
Allan J. Rossman, Beth L. Chance
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2004
The central limit theorem (abbreviated CLT) is one of the most startling results in probability theory. Loosely speaking, it expresses the fact that the sums of local and small independent disturbances (with finite variances) behave asymptotically, at least as Gaussian variables.
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The central limit theorem (abbreviated CLT) is one of the most startling results in probability theory. Loosely speaking, it expresses the fact that the sums of local and small independent disturbances (with finite variances) behave asymptotically, at least as Gaussian variables.
openaire +1 more source