Search results
Results from the WOW.Com Content Network
Statistical Methods. Author: George W. Snedecor Publication data: 1937, Collegiate Press Description: One of the first comprehensive texts on statistical methods. Reissued as Statistical Methods Applied to Experiments in Agriculture and Biology in 1940 and then again as Statistical Methods with Cochran, WG in 1967. A classic text.
Statistical Methods for Research Workers is a classic book on statistics, written by the statistician R. A. Fisher. It is considered by some [ who? ] to be one of the 20th century's most influential books on statistical methods , together with his The Design of Experiments (1935).
This is a list of statistical procedures which can be used for the analysis of categorical data, also known as data on the nominal scale and as categorical variables. General tests [ edit ]
In statistics, exploratory data analysis (EDA) is an approach of analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell beyond the formal modeling and thereby contrasts with ...
Univariate analysis is the simplest form of analyzing data. Uni means "one", so the data has only one variable . [4] Univariate data requires to analyze each variable separately. Data is gathered for the purpose of answering a question, or more specifically, a research question.
In his book Statistics as Principled Argument, Robert P. Abelson presents the perspective that statistics serve as a standardized method for resolving disagreements among scientists, who could otherwise engage in endless debates about the merits of their respective positions. From this standpoint, statistics can be seen as a form of rhetoric.
Linear scheduling method is a graphical scheduling method focusing on continuous resource utilization in repetitive activities. Predictive analytics encompasses a variety of statistical techniques from modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future, or otherwise unknown ...
The Canadian Journal of Statistics; Communications in Statistics; International Statistical Review; Journal of the American Statistical Association; Journal of Multivariate Analysis; Journal of the Royal Statistical Society; Probability and Mathematical Statistics; Sankhyā: The Indian Journal of Statistics; Scandinavian Journal of Statistics ...