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Out-of-Pocket Costs and Health-Related Social Needs Among Households With Children.
JAMA Netw OpenCaniglia M, Chavez LJ.
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Probability and Statistical Inference.
Applied Statistics, 1978Probability and Statistical Inference. By Robert V. Hogg and Elliot A. Tanis. New York, Macmillan, 1977. ix, 450 p. 24 cm. £11·25.
W. D. Ray +2 more
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Nature, 1960
IF k 1(x) is any non-negative function in L 1 (− ∞, + ∞), let us write: for n = 2, 3, … Then the function: is defined almost everywhere (although it is possibly infinite for some, or all, x).
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IF k 1(x) is any non-negative function in L 1 (− ∞, + ∞), let us write: for n = 2, 3, … Then the function: is defined almost everywhere (although it is possibly infinite for some, or all, x).
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Nonadditive Probabilities in Statistics
Journal of Statistical Theory and Practice, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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This chapter contains two parts. The first part is devoted to probability and the second part discusses briefly the statistics for finite sample spaces. First, we define the basic concepts and definitions of probability, then we introduce conditional probability.
James Miller, Connie Weeks
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James Miller, Connie Weeks
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