Results 221 to 230 of about 65,550 (268)

On a Concept of Partial Sufficiency: L-Sufficiency

International Statistical Review / Revue Internationale de Statistique, 1984
Let (X,\(\Omega\),f(x;\(\omega)\)) be a parametric statistical model and consider a mapping \(\lambda\) :\(\Omega\) \(\to \Lambda \equiv \lambda (\Omega)\). In the paper a definition of partial sufficiency (''L- sufficiency'') with respect to \(\lambda\) (\(\omega)\) is introduced as follows: t(x) is L-sufficient if and only if \(t(x_ 0)=t(x_ 1 ...
M. Rémon, M. Remon
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A NOTE ON PREDICTION SUFFICIENCY (ADEQUACY) AND SUFFICIENCY

Australian Journal of Statistics, 1980
SummaryLet(X, A) be a measurable space and P a family of probability measures on A. Let B and C be sub s̀‐algebras of A and B0 a sub s̀‐algebra of B. It is shown that if B0 is prediction sufficient (adequate) for B with respect to C and P, and Y is sufficient for B0vC with respect to P then Y is sufficient for BvC with respect to P; that if P is ...
Akahira, Masafumi, Takeuchi, Kei
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ON SUFFICIENCY AND BLACKWELL SUFFICIENCY

Statistics & Risk Modeling, 1997
The paper starts by recalling a number of different definitions of sufficiency for a statistical experiment (\(\chi\), \(\mathcal A\), \(\mathcal P\)); then several theoretical results are provided, concerning relationships between different concepts.
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Are sufficient statistics sufficient

Journal of Statistical Computation and Simulation, 2000
A gambling example is presented in which the players use the Minimum Variance Unbiased Estimator to estimate a parameter while you use another estimator. Your winnings are significant. The properties of your estimator are discussed and its derivation given.
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Semelectivity is not sufficient

Information Processing Letters, 1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pavol Duris, Imrich Vrto
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Non-sufficient Memories That Are Sufficient for Prediction

2009
The causal states of computational mechanics define the minimal sufficient (prescient) memory for a given stationary stochastic process. They induce the e-machine which is a hidden Markov model (HMM) generating the process. The e-machine is, however, not the minimal generative HMM and minimal internal state entropy of a generative HMM is a tighter ...
Löhr, Wolfgang, Ay, Nihat
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On Sufficiency of Mutants

29th International Conference on Software Engineering (ICSE'07 Companion), 2007
Mutation is the practice of automatically generating possibly faulty variants of a program, for the purpose of assessing the adequacy of a test suite or comparing testing techniques. The cost of mutation often makes its application infeasible. The cost of mutation is usually assessed in terms of the number of mutants, and consequently the number of ...
Akbar Siami Namin, James H. Andrews
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ON MARGINAL SUFFICIENCY

Statistics & Risk Modeling, 1986
Given a family P of probability measures on some \(\sigma\)-field A, and given two sub-\(\sigma\)-fields \(A_ 0\), \(A_ 1\) of A, \(A_ 0\) is called marginally sufficient for P over \(A_ 1\) if for any element B of \(A_ 1\) there exists a conditional expectation of \(1_ B\), given \(A_ 0\), which is independent of the particular probability measure in ...
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Capacity is not sufficient

BMJ, 2013
I would hardly regard a 15% increase in emergency admissions over five years—3% a year—as “soaring.”1 With demographic changes this represents at least a containment, if not a …
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Sufficient bootstrapping

Computational Statistics & Data Analysis, 2011
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Sarjinder Singh, Stephen A. Sedory
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