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The paper presents designs that allow detection of mixed effects when performing preliminary screening of the inputs of a scalar function ofdinput factors, in the spirit of Morris' Elementary Effects approach. We introduce the class of-cycle equitable designs as those that enable computation of exactlycsecond-order effects on all possible pairs of input factors. Using these designs, we propose a fast Mixed Effects screening method, that enables efficient identification of the interaction graph of the input variables. Design definition is formally supported on the establishment of an isometry between sub-graphs of the unit cubeequipped of the Manhattan metric, and a set of polynomials inon which a convenient inner product is defined. In the paper we present systems of equations that recursively define these-cycle equitable designs for generic values of, from which direct algorithmic implementations are derived. Application cases are presented, illustrating the application of the proposed designs to the estimation of the interaction graph of specific functions. [ABSTRACT FROM PUBLISHER]

Introduces an ambiguity function for general parameter estimation problems in curved exponential families focusing on the presentation on passive and active radar and sonar location mechanisms; Background information on parameter estimation; Formulation of the problem and introduction of notation; Definition of ambiguity in the general context of estimation of parameters embedded in waveforms; Recovery of the Woodward's definition of ambiguity.