Zobrazeno 1 - 10
of 198
pro vyhledávání: '"William J Wilson"'
Autor:
William J Wilson, Maryam F Afzali, Jason E Cummings, Marie E Legare, Ronald B Tjalkens, Christopher P Allen, Richard A Slayden, William H Hanneman
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 10, Iss 10, p e0005065 (2016)
Melioidosis is caused by the facultative intracellular bacterium Burkholderia pseudomallei and is potentially fatal. Despite a growing global burden and high fatality rate, little is known about the disease. Recent studies demonstrate that cyclooxyge
Externí odkaz:
https://doaj.org/article/66edc4060af546d18cef03821edc386c
Autor:
Horst Joachim Schirra, Cameron G Anderson, William J Wilson, Linda Kerr, David J Craik, Michael J Waters, Agnieszka M Lichanska
Publikováno v:
PLoS ONE, Vol 3, Iss 7, p e2764 (2008)
BACKGROUND: Growth hormone is an important regulator of post-natal growth and metabolism. We have investigated the metabolic consequences of altered growth hormone signalling in mutant mice that have truncations at position 569 and 391 of the intrace
Externí odkaz:
https://doaj.org/article/386e03d020004a448d2beaf6cbe17751
The book provides complete coverage of the classical methods of statistical analysis. It is designed to give students an understanding of the purpose of statistical analyses, to allow the student to determine, at least to some degree, the correct typ
Autor:
Rudolf J. Freund, William J. Wilson
This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this
Publisher Summary This chapter presents various models and procedures for the analysis of multifactor data sets. Such data sets arise from two types of situations: Factorial experiments and Experimental design. A factorial experiment is defined as on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2744f376746fc570d49ee822b4a4e0c5
https://doi.org/10.1016/b978-0-12-823043-5.00009-6
https://doi.org/10.1016/b978-0-12-823043-5.00009-6
This chapter discusses the methodology for doing inferences on means of a normally distributed population where the variance is unknown. It describes some of the assumptions necessary for ensuring the validity of these inference procedures and provid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1206b4ce8fbe9688c1fab3458d776bc
https://doi.org/10.1016/b978-0-12-823043-5.00004-7
https://doi.org/10.1016/b978-0-12-823043-5.00004-7
This chapter presents the inferential methods for making comparisons between the parameters of two populations. The comparison of two populations results in a single easily understood statistic—the difference between sample means. It discusses two
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce03283490b86da4026fd1f71b7cbfaa
https://doi.org/10.1016/b978-0-12-823043-5.00005-9
https://doi.org/10.1016/b978-0-12-823043-5.00005-9
This chapter focuses on the design of experiments, which is the process of planning and executing an experiment. It deals with the factorial experiments that are carried out within blocks, an analog of the multifactor analysis of variance (ANOVA), an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68aeaa05a87dc55a8e6be991a184da86
https://doi.org/10.1016/b978-0-12-823043-5.00010-2
https://doi.org/10.1016/b978-0-12-823043-5.00010-2
Publisher Summary This chapter defines the components of a dataset, presents tools that are used to describe a dataset, and briefly discusses methods of data collection. A set of data is defined as a collection of observed values representing one or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::475647f5c025b350c15886d99e0120c8
https://doi.org/10.1016/b978-0-12-823043-5.00001-1
https://doi.org/10.1016/b978-0-12-823043-5.00001-1