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geo statistics the body of methods useful for understanding and modelling spatial variability in a course of interest central to these techniques is
geographical information system gis the software and hardware configurations through which the digital georeferences are processed and displayed used
geographical analysis machine is the procedure designed to detect the clusters of rare diseases in a particular area circles of fixed radii are
genstat the basic purpose piece of statistical software for the management and the analysis of datathe package incorporates the wide variety of data
genomics is the study of the structure function and the evolution of deoxyribonucleic acid dna or ribonucleic acid rna sequences which comprise
genetic algorithms the optimization events motivated by the biological analogies the prime idea is to try to mimic the survival of the fittest rule
generalized method of moments gmm is the estimation method popular in econometrics which generalizes the method of the moments estimator essentially
technically the multivariate analogue of the quasi-likelihood with the same feature that it leads to consistent inferences about the mean responses
models which make use of the smoothing techniques such as locally weighted regression to identify and represent the possible non-linear relationships
the theory of measurement which recognizes that in any measurement situation there are multiple actually infinite sources of variation known as
the model for data containing continuous and categorical variables boththe categorical data are summarized by the contingency table and their
it is the survey which is carried out in great britain on a continuous basis since 1971 about 100 000 households are included in this sample every
the interplay of the genes and environment on for instance the risk of disease the term represents the step away from the argument as to whether the
this is the theorem which states that if the error terms in a multiple regression have the same variance and are not corrected then the estimators of
the generalization of the normal distribution used for the characterization of functions it is known as a gaussian process because it has gaussian
it is the multivariate normal random vector which satisfies certain conditional independence suppositions this can be viewed as a model framework
this is the branch of mathematics which deals with the theory of contests between two or more players under the specified sets of rules the subject
it is the art of attempting to exchange something quite small and certain for something which are large and uncertain gambling is big business in the
this is an approach to the modelling of time-frequency surfaces which consists of a bayesian regularization scheme in which the prior distributions
the analysis of data which are the functions observed continuously for instance functions of time basically a collection of statistical techniques or
a test for equality of the variances of the two populations having normal distributions based on the ratio of the variances of the sample of
the distribution free or technique which is the analogue of the analysis of variance for the design with two factors it can be applied to data sets
the approach to statistics based on a frequency view of probability in which it is supposed that it is possible to consider an innite sequence of the
designs in which the information on main effects and low-order inter- actions are attained by running only the fraction of the complete factorial
a name sometimes given to the type of diagram generally used in meta-analysis in which point estimates and confidence intervals are displayed for all