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Statistical RethinkingA BAYESIAN CO
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4 CONTENTS5.5. Ordinary least squar
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PrefaceMasons, when they start upon
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HOW TO USE THIS BOOK 9least a minor
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HOW TO USE THIS BOOK 11than initial
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1 e Golem of PragueIn the 16th cent
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16 1. THE GOLEM OF PRAGUEconverses
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1.2. WRECKING PRAGUE 19model P 1B ,
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1.2. WRECKING PRAGUE 21e dominant r
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1.3. THREE TOOLS FOR GOLEM ENGINEER
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1.3. THREE TOOLS FOR GOLEM ENGINEER
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1.3. THREE TOOLS FOR GOLEM ENGINEER
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2 Small Worlds and Large WorldsWhen
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2.1. PROBABILITY IS JUST COUNTING 3
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2.1. PROBABILITY IS JUST COUNTING 3
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2.1. PROBABILITY IS JUST COUNTING 3
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2.2. COLOMBO’S FIRST BAYESIAN MOD
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W L W W W L W L W2.2. COLOMBO’S F
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2.3. COMPONENTS OF THE MODEL 41not
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2.3. COMPONENTS OF THE MODEL 43You
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2.3. COMPONENTS OF THE MODEL 45e ma
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2.4. MAKING THE MODEL GO 47other pr
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2.4. MAKING THE MODEL GO 495 points
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2.4. MAKING THE MODEL GO 51just the
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2.4. MAKING THE MODEL GO 53between
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2.6. PRACTICE 55Medium.2.6.5. m1. R
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2.6. PRACTICE 57implied by the equa
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3 Sampling the ImaginaryLots of boo
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3. SAMPLING THE IMAGINARY 61a probl
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3.2. SAMPLING TO SUMMARIZE 63plot(
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3.2. SAMPLING TO SUMMARIZE 65Densit
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3.2. SAMPLING TO SUMMARIZE 67In con
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3.2. SAMPLING TO SUMMARIZE 69Densit
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3.3. SAMPLING TO SIMULATE PREDICTIO
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3.3. SAMPLING TO SIMULATE PREDICTIO
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3.3. SAMPLING TO SIMULATE PREDICTIO
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3.3. SAMPLING TO SIMULATE PREDICTIO
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3.5. PRACTICE 793.5. PracticeEasy.
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3.5. PRACTICE 813.5.17. Predict sec
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84 4. LINEAR MODELSFIGURE 4.1. e Pt
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86 4. LINEAR MODELSexperiment with
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88 4. LINEAR MODELS4.1.4.2. Epistem
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90 4. LINEAR MODELSe approach above
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92 4. LINEAR MODELS'data.frame': 54
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94 4. LINEAR MODELSe point isn’t
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96 4. LINEAR MODELShave the samples
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98 4. LINEAR MODELSere’s no troub
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100 4. LINEAR MODELS)Note the comma
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102 4. LINEAR MODELSpreviously obse
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104 4. LINEAR MODELS4.4. Adding a p
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106 4. LINEAR MODELS(1) What is the
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108 4. LINEAR MODELSdata(Howell1)d
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110 4. LINEAR MODELSRethinking: Wha
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112 4. LINEAR MODELSheight140 150 1
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114 4. LINEAR MODELSheight140 150 1
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116 4. LINEAR MODELSYou end up with
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118 4. LINEAR MODELS(1) Use link to
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120 4. LINEAR MODELSheight140 150 1
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- Page 174 and 175: 174 6. MODEL SELECTION, COMPARISON,
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7.1. BUILDING AN INTERACTION 223hav
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7.1. BUILDING AN INTERACTION 225Plo
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7.1. BUILDING AN INTERACTION 227Den
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7.2. SYMMETRY OF THE LINEAR INTERAC
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7.3. CONTINUOUS INTERACTIONS 231is
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7.3. CONTINUOUS INTERACTIONS 233It
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7.3. CONTINUOUS INTERACTIONS 235e n
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7.3. CONTINUOUS INTERACTIONS 237bws
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7.3. CONTINUOUS INTERACTIONS 239wat
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7.7. PRACTICE 241m7.x
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244 8. MARKOV CHAIN MONTE CARLO EST
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246 8. MARKOV CHAIN MONTE CARLO EST
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248 8. MARKOV CHAIN MONTE CARLO EST
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250 8. MARKOV CHAIN MONTE CARLO EST
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252 8. MARKOV CHAIN MONTE CARLO EST
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254 8. MARKOV CHAIN MONTE CARLO EST
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256 8. MARKOV CHAIN MONTE CARLO EST
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258 8. MARKOV CHAIN MONTE CARLO EST
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260 8. MARKOV CHAIN MONTE CARLO EST
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262 8. MARKOV CHAIN MONTE CARLO EST
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264 8. MARKOV CHAIN MONTE CARLO EST
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9 Big Entropy and the Generalized L
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y ∼ Pois(λ)y ∼ Binom count e
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9.1. GENERALIZED LINEAR MODELS 271a
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274 10. DISTANCE AND DURATION1 comp
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11 Counting and Classification[Summ
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11.1. BINOMIAL 279model this way:y
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11.1. BINOMIAL 281proportion pulled
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11.1. BINOMIAL 283) ,data=d , start
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11.1. BINOMIAL 285}lines( x , y , c
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11.1. BINOMIAL 287h3 ~ dnorm(0,10),
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11.1. BINOMIAL 289d$male
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11.1. BINOMIAL 291a ~ dnorm(0,10))
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11.2. POISSON 293logit(p) ~ a + bdB
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11.2. POISSON 295FIGURE 11.7. Locat
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11.2. POISSON 297compare(m10.8,m10.
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11.2. POISSON 299model m2averagedTo
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11.2. POISSON 3010.15 0.30 -0.3 0.0
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12 Monsters and Mixturesis chapter
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12.1. ORDERED CATEGORICAL OUTCOMES
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12.1. ORDERED CATEGORICAL OUTCOMES
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12.1. ORDERED CATEGORICAL OUTCOMES
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12.1. ORDERED CATEGORICAL OUTCOMES
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12.1. ORDERED CATEGORICAL OUTCOMES
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12.1. ORDERED CATEGORICAL OUTCOMES
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12.3. VARIABLE PROBABILITIES: BETA-
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12.3. VARIABLE PROBABILITIES: BETA-
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12.3. VARIABLE PROBABILITIES: BETA-
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12.3. VARIABLE PROBABILITIES: BETA-
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12.3. VARIABLE PROBABILITIES: BETA-
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12.4. VARIABLE RATES: GAMMA-POISSON
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12.4. VARIABLE RATES: GAMMA-POISSON
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12.4. VARIABLE RATES: GAMMA-POISSON
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12.5. VARIABLE PROCESS: ZERO-INFLAT
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12.5. VARIABLE PROCESS: ZERO-INFLAT
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13 Multilevel ModelsIntro idea: Cas
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13.2. MULTILEVEL TADPOLES 339and ev
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13.2. MULTILEVEL TADPOLES 341is mod
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13.3. VARYING EFFECTS AND THE UNDER
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13.3. VARYING EFFECTS AND THE UNDER
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13.3. VARYING EFFECTS AND THE UNDER
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13.4. CROSS-CLASSIFIED MODELS 349th
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13.4. CROSS-CLASSIFIED MODELS 351De
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354 14. MULTILEVEL MODELS II10 E fe
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356 14. MULTILEVEL MODELS IIR code1
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15 Missing Data and Other Opportuni
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15.1. MEASUREMENT ERROR 361vector[N
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15.1. MEASUREMENT ERROR 36315.1.2.
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15.2. MISSING DATA 365information i
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15.2. MISSING DATA 367nc
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15.2. MISSING DATA 369kcal per gram
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15.3. SPACE AND NETWORKS 371start
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15.3. SPACE AND NETWORKS 373library
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15.3. SPACE AND NETWORKS 375correla
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15.3. SPACE AND NETWORKS 377Total T
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EndnotesChapter 11. I draw this met
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ENDNOTES 38326. Fisher (1925), page
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ENDNOTES 385all of the log-products
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ENDNOTES 387[217]96. From Nunn and
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BibliographyAkaike, H. (1973). Info
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Bibliography 391Ioannidis, J. P. A.
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Bibliography 393Wolpert, D. and Mac
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396 INDEXRiley et al. (1999), 381,