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The efficiency of travelling-wave tubes (TWTs) operated under nonlinear conditions is usually enhanced by adjusting the phase velocity of the slow-wave circuit towards the output end of the tube. This technique, known as tapering, aims to maintain the optimum phase relationship between the electron bunches and the slow electromagnetic wave. The paper describes the results of a study of taper design carried out using a one-dimensional large signal computer model of coupled-cavity TWTs. An improved taper design procedure for broad-band TWTs is suggested.
This article discusses some properties of the first order regression method for imputation of missing values on an explanatory variable in linear regression model and presents an estimation strategy based on hypothesis testing.
This paper considers the problem of estimating the population mean using the ratio and product methods when some observations in the sample data are missing at random and the population mean of the auxiliary characteristic is not known. Besides an unbiased estimator arising from the total discard of incomplete pairs of observations, four generally biased estimators are presented. The first two estimators arise from the partial utilization of data while the remaining two are based on full utilization. A comparative study of the efficiency properties of estimators is reported and the choice of estimators is discussed.
This paper discusses the estimation of coefficients in a linear regression model when there are some missing observations on an explanatory variable and the study variable individually as well as simultaneously. The first order regression method of imputation is followed and the least squares procedure is applied. Efficiency properties of estimators are then investigated employing the large sample asymptotic theory.