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With a cluster drive test, operators can perform network tests by taking a group of cells and deploy it in a particular location and investigate the network accordingly. Cluster drive test is executed when the network is in active mode (i.e. providing service to customers) and inspect the interference amid two cells and handover taking place or ...
The driving examiner explains the test to the driver. In the United States, most Department of Motor Vehicles offices do not provide vehicles for the road test and so the person taking the test must provide their own vehicle. This is useful because the vehicle they use for the test is typically the same vehicle they have used to practice driving.
The table shown on the right can be used in a two-sample t-test to estimate the sample sizes of an experimental group and a control group that are of equal size, that is, the total number of individuals in the trial is twice that of the number given, and the desired significance level is 0.05. [4] The parameters used are:
A crash test dummy, or simply dummy, is a full-scale anthropomorphic test device (ATD) that simulates the dimensions, weight proportions and articulation of the human body during a traffic collision. Dummies are used by researchers, automobile and aircraft manufacturers to predict the injuries a person might sustain in a crash. [ 1 ]
One of the more common small area models in use today is the 'nested area unit level regression model', first used in 1988 to model corn and soybean crop areas in Iowa. The initial survey data, in which farmers reported the area they had growing either corn or soybeans, was compared to estimates obtained from satellite mapping of the farms.
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In the general case, the unbiased estimate of the covariance matrix provides an acceptable estimate when the data vectors in the observed data set are all complete: that is they contain no missing elements. One approach to estimating the covariance matrix is to treat the estimation of each variance or pairwise covariance separately, and to use ...
"The Lagrange Multiplier Test and Testing for Misspecification : An Extended Analysis". Misspecification Tests in Econometrics. New York: Cambridge University Press. pp. 69– 99. ISBN 0-521-26616-5. Ma, Jun; Nelson, Charles R. (2016). "The superiority of the LM test in a class of econometric models where the Wald test performs poorly".
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