Sentence examples for measurable relationships between from inspiring English sources

In terms of the hydrological impacts of fire, the lack of measurable relationships between the commonly determined parameters and post-fire hydrological responses has limited their potential to predict and mitigate post-fire hazards.

James established a measurable relationship between a minor-league hitter's statistics and his major-league equivalents.

James established a measurable relationship between a minor-league hitter's statistics and their major-league equivalents.

If there is no known or measurable relationship between the timing of the tests and the timing of vacations, and if the other relevant features of the workers who are on vacation at the time of the tests are similar to that of other workers, then these missing data can be considered MCAR.

Together, the TED, Privacy Certifying Authority and the service provider's cloud infrastructure, develop and maintain a provable, measurable trust relationship between themselves.

There were no measurable dose-response relationships between consumption of tofu products, fermented soybeans, boiled soybeans, miso, or miso soup and the prevalence of periodontal disease.

Thus there remain considerable challenges associated with measuring aspects of a vein network accurately, and even greater challenges in characterizing the relationships between measurable variables and their associated functions or phylogenetic significances.

The relationships between measurable resolution and system parameters such as height are shown in both simulation results and measurements.

The best documented cases of direct relationships between measurable physical properties and perceived texture lie in the area of "semi-solid" foods such as yogurts and custards.

As seen earlier, unsupervised techniques do not work backwards from an outcome but are instead used to look for inherent relationships between measurable characteristics in cross-sectional data.

The other main class of statistical techniques used in data-driven subgrouping is called 'unsupervised' because these techniques do not work backwards from an outcome but instead look for relationships between measurable characteristics inherent in cross-sectional data.