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51

cc30eCHAPTER 30 MAXIMUM ENTROPY: MATRIX FORMULATION. Back in Chapter 11, we saw how the principle of maximum entropy leads us to a general means of assigning probabilities. From a theoretical standpoint, that d

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Language: English - Date: 2004-03-11 14:49:07
    52

    REF{1 REF{1 crefsv, 6/7/96

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      53

      c19g, :22 CHAPTER 19 PHYSICAL MEASUREMENTS We have seen, in Chapter 7, how the great mathematician Leonhard Euler was unable to solve the problem of estimating 8 orbital parameters from 75 discrepant observa

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        54

        c15b, CHAPTER 15 PARADOXES OF PROBABILITY THEORY \I protest against the use of in nite magnitude as something accomplished, which is never permissible in mathematics. In nity is merely a gure of speech, the

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          55

          c16v, CHAPTER 16 ORTHODOX METHODS: HISTORICAL BACKGROUND \With all this confounded tracking in hypotheses about invisible connections with all manner of inconceivable properties, which have checked progress fo

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            56

            cappb8, APPENDIX B MATHEMATICAL FORMALITIES AND STYLE We collect here a brief account of the various mathematical conventions used throughout this work,

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              57

              appe1, :20 APPENDIX E MULTIVARIATE GAUSSIAN INTEGRALS Starting from the formula it follows that

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                58

                c20b, \   both CHAPTER 20 TREND AND SEASONALITY IN TIME SERIES

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                  59

                  Microsoft Word - Template Social Media Policy_106310033_1FOR MEMBERS.DOC

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                  Language: English - Date: 2010-10-13 11:11:00
                    60

                    cc06q, CHAPTER 6 ELEMENTARY PARAMETER ESTIMATION \A distinction without a di erence has been introduced by certain writers who distinguish

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                    Language: English - Date: 2004-03-11 14:49:05
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