Sentences with word «nonparametric»

Nonparametric tests for trend across increasing number of early adverse experiences were as follows: depression (panel 1): z = 4.94, P <.001; high - sensitivity C - reactive protein level (hsCRP) level greater than 3 mg / L (panel 2): z = 3.24, P =.001; clustering of metabolic risk markers (panel 3): z = 4.58, P <.001; and 1 or more age - related - disease risks (panel 4): z = 5.66, P <.001.

Overview of nonparametric and multivariate analysis.

Nonparametric estimates of posterior marginal densities were computed with Gibanal (van Kaam, 1998).

Pearson correlations were used for the correlations between the attachment functions and the IOS scale, and nonparametric correlations (Spearman's rho) were calculated for the correlations with the rank in the attachment hierarchy.

Estimated nonparametric marginal densities for polygenic (σ2u) and major gene (σ2w) variance for elbow dysplasia (ED) in the Golden Retriever, as an example of all breeds.

We also conducted sensitivity analyses for intervention effects using a design - based nonparametric method, the permutation test, to ascertain whether our findings are sensitive to model assumptions.54 - 56

«Nonparametric Estimation and Testing of Stochastic Discount Factor.»

Nonparametric statistical analyses of data were used: the Mann - Whitney test for unpaired comparisons and Spearman's rank correlation coefficient (r) for ANCOVA.

Analysis of baseline data using an ANOVA for parametric data and a Kruskal — Wallis test for nonparametric data showed that all groups were equivalent on all sleep measures (i.e., time needed to fall asleep, number and length of night - time awakenings, total time asleep, fatigue level next day).

In addition to the question of the use and impact of more generic teaching styles, we were able to apply nonparametric analyses to two additional reading - specific teaching domains — word recognition and comprehension instruction.

A multilevel decomposition of school performance using robust nonparametric frontier techniques

Kruskall - Wallis nonparametric ANOVA and Spearman correlation were used in analyses that included only tail chasers (TCindex ≥ 2).

Streamflow trends were statistically determined for each station using the Mann - Kendall nonparametric test at a 10 % significant level, combined with a field significance test.

Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R. John Wiley \ & Sons, Chichester, UK.

By projecting the renewable energy use for the years 2020 and 2030 and the associated resulting carbon dioxide emissions, the paper constructs through nonparametric analysis efficiency measures evaluating the different energy policy which can be adopted.

Nonparametric bootstrapping was used to obtain the bias - corrected and accelerated confidence intervals of the indirect effect (28).

Learners Also Examine Nonparametric Alternatives.

Advanced robust and nonparametric methods in efficiency analysis.

Malikov, Emir and Sun, Kai and Kumbhakar, Subal C. (2018): Nonparametric Estimates of the Clean and Dirty Energy Substitutability.

Estimated nonparametric marginal densities for polygenic (σ2u) and major gene (σ2w) variance for hip dysplasia (HD) in the German Shepherd, as an example of all breeds.

Due to the nonnormality of the distribution, we compared results from both parametric and nonparametric tests.

Specific statistical areas of expertise include factor and cluster analysis, basic bivariate analyses, repeated measures analyses, linear and hierarchical / mixed models, structural equation modeling, and nonparametric analyses including logistic regression techniques.

We compared socio - demographic and pregnancy - related characteristics among the three study groups using chi - square tests for categorical variables, analysis of variance (ANOVA) for normally distributed continuous variables and the nonparametric Kruskal - Wallis test for continuous variables that were not normally distributed.

All statistical analyses were performed with SPSS for Windows software (V9.0) using a nonparametric test (the Kruskall - Wallis test) followed by post hoc analysis (the Mann - Whitney U-test).

Quality of life was significantly higher in participants randomized to the intervention group, who demonstrated a statistically and clinically meaningful increase in QOL at 12 weeks (P <.05 using the nonparametric Wilcoxon test).31, 32 Median survival was almost 5 months longer in the intervention group.

A nonparametric framework for comparing trends and gaps across tests.

The Effect of Private Tutoring Expenditures on Academic Performance: Evidence from a Nonparametric Bounding Method

We apply a tailored, fully nonparametric conditional efficiency model to study secondary school efficiency in the

For me, the most important part of the study is the finding that «The nonparametric monotonicity relation test indicates that the differences in the total return of the equal - weighted portfolio and the value - and price - weighted portfolios is monotonically related to size, price, liquidity and idiosyncratic volatility.»

A nonparametric framework for long - range streamflow forecasting by James A. Smith, Gerald N. Day, Michael D. Kane.

A nonparametric approach.

Halkos, George and Tzeremes, Nickolaos and Tzeremes, Panagiotis (2014): A nonparametric approach for evaluating long - term energy policy scenarios: An application to the Greek energy system.

Climate change; Renewable energy sources; Greek energy system; linear programming; nonparametric analysis.

Halkos, George and Papageorgiou, George (2014): Spatial environmental efficiency indicators in regional waste generation: A nonparametric approach.

A nonparametric approach for evaluating long - term energy policy scenarios: An application to the Greek energy system