Results 131 to 140 of about 566,893 (298)
Advanced Science, EarlyView.A deep learning–driven pipeline mining 246 million protein sequences uncovers AhPETase, an evolutionarily distinct PET hydrolase. Engineered variant AhPETaseM1 degrades post‐consumer PET microplastics under physiological conditions and reverses microplasticinduced cytotoxicity in human lung and colon cells, establishing enzymatic microplastic ...
Yuxuan Wang +9 more
wiley +1 more source
A Bootstrap Invariance Principle for Highly Nonstationary Long Memory Processes [PDF]
This paper presents an invariance principle for highly nonstationary long memory processes, defined as processes with long memory parameter lying in (1, 1.5).
George Kapetanios
core
Investigations of the Evolved Molecular Basis for Terpenoid Biosynthesis in Marine Sponges
Advanced Science, EarlyView.Confirming and extending a previous observation in another Bubarida sponge, genomic and functional analyses of A. cavernosa reveal that sponges retain the mevalonate pathway and employ single α‐domain T1TSs and UbiA‐type TSs for terpenoid biosynthesis. The absence of T1TSs clustering with other biosynthetic genes tentatively suggests, based on limited ...
Fangyan Chen +6 more
wiley +1 more source
AIDS VERSUS THE ROTTERDAM DEMAND SYSTEM: A COX TEST WITH PARAMETRIC BOOTSTRAP [PDF]
A Cox test with parametric bootstrap is developed to select between the linearized version of the First-Difference Almost Ideal Demand System (FDAIDS) and the Rotterdam model.
Richter, Francisca G.-C. +3 more
core
The estimation of number of bootstrap replications for the parametric bootstrap
, 2004 The problem of number of parametric bootstrap replications that are necessary to realizace at bias estimation is solved in this paper. It shows results of simulations demonstrating extent of error that we can cause at different number of bootstrap replications.
openaire +1 more source
The Power of Bootstrap Tests [PDF]
Bootstrap tests are tests for which the significance level is calculated using some variant of the bootstrap, which may be parametric or nonparametric. We show that the power of a bootstrap test will generally be very close to the power of the asymptotic
Russell Davidson, James G. MacKinnon
core
Measuring efficiency of Tunisian schools in the presence of quasi-fixed inputs: A bootstrap data envelopment analysis approach [PDF]
The objective of this paper is to measure the efficiency of high schools in Tunisia. We use a statistical Data Envelopment Analysis (DEA)-bootstrap approach with quasi-fixed inputs to estimate the precision of our measure.
Essid, Hédi +2 more
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Parametric Predictive Bootstrap Method for the Reproducibility of Hypothesis Tests
Journal of Statistical Theory and PracticeAbstract Hypothesis tests are essential tools in applied statistics, but their results can vary when repeated. The reproducibility probability (RP) quantifies the probability of obtaining the same test outcome—either rejecting or not rejecting the null hypothesis—if a hypothesis test is repeated under identical conditions.
Abdulrahman M. A. Aldawsari +2 more
openaire +2 more sources
A note on the Bandwidth choice when the null hypothesis is semiparametric [PDF]
This work presents a tool for the additivity test. The additive model is widely used for parametric and semiparametric modeling of economic data. The additivity hypothesis is of interest because it is easy to interpret and produces reasonably fast ...
Jorge Barrientos Marín
core
The Size and Power of Bootstrap Tests [PDF]
Bootstrap tests are tests for which the significance level is calculated by some sort of bootstrap procedure, which may be parametric or nonparametric. We show that, in many circumstances, the size distortion of a bootstrap P value for a test will be one
Russell Davidson, James G. MacKinnon
core