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What's more, as quantum particles, electrons exist as a collection of probabilities rather than at specific locations, so a better picture is to show the electrons as a set of fuzzy shells around the nucleus.
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Collection of probability mass function figures for sCMP(λ=0.25,ν,m) distributions with varying values for ν=0.5,1,5,30 and m=1,2,3,5.
Collection of probability mass function figures for sCMP(λ=2,ν,m) distributions with varying values for ν=0.5,1,5,30 and m=1,2,3,5 Fig. 2 sCMP Probability Mass Functions.
Moreover, time consistency is also described in terms of the collection of probability measures that satisfy the "product property," similar to the rectangularity property mentioned above.
The axioms do not guarantee that a probability implication, a ⊇ b[2], is the conditional probability of b given a, or even that the consequents of a collection of probability implications with a as antecedent satisfy the axioms of finite probability.
Let I be a nonempty subset of (mathbb {R} ^{N}) and let ({mathcal {M} }({mathcal {B} },I)) denote the collection of probability measures on I with respect to the Borel σ-algebra ({mathcal {B} }).
In the initial stages this algorithm must calculate and store an entire collection of propagation probabilities.
where C∗(i) represents any collection of classification probabilities for the i th syllable, and n is the range parameter controlling the extent of the context.
Put in Bayesian terms, an expert elicitation result is nothing but a collection of prior probabilities and though, this method is used for uncertainty assessment in climate modelling as well as energy modelling.
The probability vector P i) for the i th sample is constructed as follows: P ( i ) = [ C ∗ ( i - n ), ⋯, C ∗ ( i - 1 ), C ∗ ( i ), C ∗ ( i + 1 ), ⋯, C ∗ ( i + n ) ], (2) where C∗(i) represents any collection of classification probabilities for the i th syllable, and n is the range parameter controlling the extent of the context.
The transition matrix T ˆ is the collection of the probabilities of going from one mating type to another in one generation of sibling mating; it has dimension 6 × 6 (supporting material in File S1, 1.4.3) (for a detailed description on how to construct such a matrix, see B ulmer 1985, Chap. 3).
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