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Structure Inference and Stochastic Graphs

Ove Frank

出版	Defense Technical Information Center, 1969
URL	http://books.google.com.hk/books?id=jIlxHAAACAAJ&hl=&source=gbs_api

註釋

Population structures are considered, represented by finite graphs without parallel arrows in the same direction between any pair of nodes. In Chapter 1 are introduced various structure concepts, operations on graphs and matrices, relations between different structure properties, and some structure parameters. Chapter 2 describes various sampling schemes for extracting from a portion of a graph information about the whole graph. Inference from the observed structure to the population structure is discussed in Chapters 3 and 4. Examples are given to show how unbiased estimators of various structure parameters may be obtained. Chapter 5 shortly treats multi-stage sampling. Chapter 6 is devoted to stochastic graphs. Means and variances are given for some structure parameters under different assumptions about the stochastic graphs. (Author).