Abstract
Several types of new developments in statistical behavior theory deserve attention: (i) attempts at relatively direct empirical tests of basic axioms; (ii) the application of models that survive these tests for purposes of data reduction and analysis; (iii) the extension of extant models, or elaborations of them, to new empirical problems; and (iv) the introduction of new models based primarily on abstract mathematical considerations. The last two of these “new developments” have been well represented in recent books [3, 11]; the first two will be illustrated in the following sections.

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