Sentence examples for more advanced statistical from inspiring English sources

The authors more advanced statistical technique is better suited to finding trends and patterns in the climate record.

Mark Patterson, a 27-year-old fan sitting in the stands for a recent Tampa Bay Rays spring training game, said he would like to hear more advanced statistical analysis but said it should be a "slow introduction process".

His model incorporates the size, quality, and recency of all polls, and weights them based on the polling firm's past predictive success (among other more advanced statistical procedures).

Twelve simulations were run and analyzed using standard statistical criteria and also a more advanced statistical method, the Karhunen Loève transform (KLT).

Future research is encouraged to study in more depth the individual characteristics of innovation and entrepreneurship systems and generate a 'synthetic' indicator based on more advanced statistical techniques that could serve as a reliable mirror of any innovative and successful enterprise.

As Walter Fitch and Margoliash had done during the 1960s, but now with access to much more advanced statistical methods, Fitch and Charles Langley, as well as Morris Goodman and his colleagues at Wayne State, constructed increasingly detailed phylogenetic trees and then used the nodes of these trees to compare substitution rates along particular evolutionary branches.

More advanced statistics provide the same information.

A fourth way is to use a more advanced tailored statistical model such as Bayesian belief networks which makes it possible to define complex relationships between indicators.

Nevertheless, methodologically speaking, future research must persist in pursuing the license-attractiveness relationship, analyzing this longitudinal type of data with more advanced inferential statistical techniques, such as structural equation modeling, to explore and understand the causal relationships better and even more rigorously.

The mistakes in experimental design that I made as a beginning grad student were instructive, but I wasted more time than necessary on basic "type three" errors (providing the right answer to the wrong question) when I could have been making more advanced "type one" (statistical false positive) and "type two" (statistical false negative) errors instead!

Yet, the search for increasingly reliable modeling of reality and the desire to use more and more advanced econometrical and statistical techniques force researchers to adopt numerous premises about human behavior, particularly in terms of their time preferences.