Results 241 to 250 of about 3,669,328 (301)

Estimating Baseline Survival Function in the Proportional Hazards Model Under Monotone Hazards. [PDF]

J Stat Theory Pract
Wu Y, Chappell R.
europepmc   +1 more source

Upper Bounds on the Colloid Separation Efficiency of Diffusiophoresis. [PDF]

Langmuir
Temprano-Coleto F, Kim J, Louis MM, Stone HA.   +3 more
europepmc   +1 more source

Mediation with External Summary Statistic Information. [PDF]

Biostatistics
Boss J, Hao W, Cathey A, Welch BM, Ferguson KK, Meeker JD, Zhou X, Kang J, Mukherjee B.   +8 more
europepmc   +1 more source

Quantile Tensor Regression for Integrative Genomic Analysis of Oesophageal Carcinoma. [PDF]

Stat Med
Liu S, Härdle WK, Pan J, Hou J, Meng T, Tian M.   +5 more
europepmc   +1 more source

What the Dying are Saying to the Living: Mixed Conspecific Alarm Cues Reverse Competitive Hierarchies by Reshaping Genotype-Specific Life Histories. [PDF]

Ecol Evol
Tian X, Zhang Q, Li C, Feng W, Zhang X.
europepmc   +1 more source

Adaptive Debiased Lasso in High-Dimensional Generalized Linear Models with Streaming Data. [PDF]

J Am Stat Assoc
Han R, Luo L, Luo Y, Lin Y, Huang J.
europepmc   +1 more source

On the Asymptotic Efficiency of GMM

, 2003
Carrasco, Marine, Florens, Jean-Pierre
openaire   +3 more sources

Some of the next articles are maybe not open access.

Related searches:

The Asymptotic Efficiency of Simulation Estimators

Operations Research, 1992
A decision-theoretic framework is proposed for evaluating the efficiency of simulation estimators. The framework includes the cost of obtaining the estimate as well as the cost of acting based on the estimate. The cost of obtaining the estimate and the estimate itself are represented as realizations of jointly distributed stochastic processes. In this
Ward Whitt
exaly   +2 more sources

Asymptotically efficient quantizing

IEEE Transactions on Information Theory, 1968
It is shown, under weak assumptions on the density function of a random variable and under weak assumptions on the error criterion, that uniform quantizing yields an output entropy which asymptotically is smaller than that for any other quantizer, independent of the density function or the error criterion. The asymptotic behavior of the rate distortion
Herbert Gish, John N. Pierce
openaire   +1 more source

Asymptotic relative efficiency

, 2012
The purpose of asymptotic relative efficiency is to compare two statistical procedures by comparing the sample sizes, n1 and n2, say, at which those procedures achieve some given measure of performance; the ratio n2/n1 is called the relative efficiency of procedure one with respect to procedure two.
Hallin, M.
core   +3 more sources