Sentence examples for multiple hypotheses and from inspiring English sources

Multiple hypotheses and several mechanisms have been proposed to elucidate the anti-inflammatory effects of a KD19,40,42.

These tools offer the opportunity to evaluate multiple hypotheses and provide a means to identify, quantify, and understand relevant sources of variability, to optimize translation and clinical trial design.

Ran Kivetz, Professor of Marketing at Columbia Business School and co-author Yuhuang Zheng, professor from the School of Economics and Management at Tsinghua University, tested multiple hypotheses and conducted several studies examining the effects of marketing promotions on consumers' purchases of extravagant versus necessary goods.

Particle filters simultaneously track multiple hypotheses and recursively approximate the posterior probability density function in the state space with a set of random sampled particles.

Tetlock divided experts into "foxes" who maintained multiple hypotheses, and "hedgehogs" who were more dogmatic.

The effect of per capita academic productivity remained highly significant when controlling for expenditure and for characteristics of study: broad methodological category, papers testing one vs. multiple hypotheses, and pure vs. applied discipline (Table 1, Nagelkerke R2 = 0.051).

We use a Bonferonni adjustment to account for multiple hypotheses testing, and summarize the adjusted p-values in a matrix called the subclass association matrix (SA matrix).

This situation is called multiple hypotheses testing and requires a modification of the p-value definition.

The use of composite joint motion, that is adding MCPJ, PIPJ and DIPJ range, is a potential limitation, however separate analysis by joint means multiple hypotheses tests and increases the risk of a Type I error.

The principal drawbacks of stepwise selection include biases in parameter estimation and reported p-value, inconsistencies among model selection algorithms, an issue of multiple hypotheses testing, and the possibility of missing the optimal model.

POTION reduces false positives through several sophisticated sequence and group filters based on numeric, phylogenetic, quality and conservation criteria to remove spurious data and through multiple hypothesis corrections, and considerably reduces computation time thanks to a parallelized design.