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Köp båda 2 för 2126 kr1 Introduction.- 1.1 What is Data Fusion?.- 1.2 Random Set Theory.- 1.3 Conditional and Relational Event Algebra.- I Introduction to Data Fusion.- 2 Data Fusion and Standard Techniques.- II The Random Set Approach to Data Fusion.- 3 Foundations of Random Sets.- 4 Finite Random Sets.- 5 Finite-Set Statistics.- 6 Fusion of Unambiguous Observations.- 7 Fusion of Ambiguous Observations.- 8 Output Measurement.- III Use of Conditional and Relational Events in Data Fusion.- 9 Introduction to the Conditional and Relational Event Algebra Aspects of Data Fusion.- 10 Potential Application of Conditional Event Algebra to Combining Conditional Information.- 11 Three Particular Conditional Event Algebras.- 12 Further Development of Product Space Conditional Event Algebra.- 13 Product Space Conditional Event Algebra as a Tool for Further Analysis of Conditional Event Algebra Issues.- 14 Testing of Hypotheses for Distinctness of Events and Event Similarity Issues.- 15 Testing Hypotheses And Estimation Relative To Natural Language Descriptions.- 16 Development of Relational Event Algebra Proper to Address Data Fusion Problems.