百度试题 题目An unbiased estimator is a sample statistic, which has an expected value equal to the value of the population parameter.相关知识点: 试题来源: 解析 对 反馈 收藏
An estimator (or estimate) is a statistic that’s used to approximate a population parameter. While there are several types of estimators, the word “estimator” on its own usually refers to a point estimate. A point estimate is a single value (as opposed to an interval, like aconfidence ...
When a standard association analysis is performed (methods described below) for all 500,000 SNPs with this phenotype, the genomic-control inflation factor is 1.163, which is indicative of some inflation (importantly, this would be sufficient to impact the tail of the test statistic distribution, ...
(Indeed, \(T=x_1-x_2\) in the pedagogical example is an ancillary statistic, and conditioning on T produces the correct answers.) But it is still often necessary to condition even when an ancillary statistic is not available, as we will see in many of the examples herein....
One of the fundamental questions about human language is whether all languages are equally complex. Here, we approach this question from an information-theoretic perspective. We present a large scale quantitative cross-linguistic analysis of written language by training a language model on more than ...
Modelling extreme values distributions, such as wave height time series where the higher waves are much less frequent than the lower ones, has been tackled from the point of view of the Peak-Over-Threshold (POT) methodologies, where modelling is based on
mediation tests. CMM uses a Sobel-type test [24]; microHIMA uses a joint-significance-type test [25]; SparseMCMM includes two tests: one uses the overall mediation effect estimate as the test statistic and the other uses the sum of squares of the component-wise mediation effect estimates ...
Table A2. Summary statistic for moderating variables by evidence pool. Empty CellEvidence poolsElasticity at firm level: 773 observationsElasticity at industry level: 135 observationsRate of return at firm level: 192 observationsRate of return at industry level: 153 observations Moderating variables Empty...
time. For each model, measured the performance of binary classifiers, designated as “One vs. rest for Class 0”, “One vs. rest for Class 1” and so on. A positive value for the Delong test statistic indicates that the AUC for the first model is larger than the AUC for the second ...
analysis using bulk tissue samples. By carefully modeling cell-type-level expression, MiXcan is more powerful than PrediXcan when disease associations are driven by a minor cell type or have opposite directions in different cell types. However, when the association of GReX with disease is similar ...