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Published byDominick Waters Modified over 8 years ago
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Soundpost Questions, re: T&M 1.Equipment acceptable?Henri 2.Dated chronologies?Malcolm 3.t value?Paul 4.Instrument chronology?Paul 5.Anticipated date?Henri 6.t values acceptable?Paul
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Dendro Dating Artifacts Southwestern Ruins (~violins)
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Grand SW Houses
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A.E. Douglass Collected living- tree samples –Dated chronology Collected ruins samples –Undated chronology Connected the two
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Dating Living back to ~AD 1250 700 year “floating” chronology Separated by a gap
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Gap Piece Buried wood
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The Bridging With skeleton plots No t values: who needs ‘em?
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Raw width series not helpful for dating Yes: Trends look similar But: Most tree series have that trend Geometric constraint of tree growth
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Detrended Series Standard series (blue) ok: –No trend –But has autocorrelation Residual series (red) even better, best –No trend –No autocorrelation
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Autocorrelation a Bad Thing for Dating Undated tree sample with 290 rings Dated chronology with almost 600 rings “Significant” t values for 113 dating positions With residual series, only one dated position
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~ Standard deviation Difference of two rings divided by average Mean Sensitivity If two rings equal each other –Difference is 0 –Sensitivity 0 If one ring is 0: –Difference = average –Sensitivity 2
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Messiah MS Quite low: –Residual series: 0.148 –SW chronologies 0.5 Stats dating of Messiah will be difficult Perhaps some other ring variable would be better, e.g., density
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Question 3: What is the t value?
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2.5% t value is compared to Student’s distribution Large |t values| rare significant
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Adjusts correlation r values by sample size As r 0, t 0 As r , t As r 1, t skyrockets t varies with sqrt(n) Famous t value Messiah has 109 rings Not bad, not great either
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Multiple testing issue: –Do enough tests, you’re bound to get significant results Alpha level should be adjusted Standard stats As m , () , P (penalty) t Value Penalty
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Example: –500-yr chron –100-yr series –50-yr minimum overlap –500 tests Significant t value (p = 0.0005) non- significance Worse with many chronologies t Value Penalty
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