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Introduction to Time Series and For
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Peter J. Brockwell Richard A. Davis
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viii Preface Since the upgrade to I
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x Contents 2.6. The Wold Decomposit
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xii Contents 8.8.2. Observation-Dri
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xiv Contents D.6. Model Properties
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2 Chapter 1 Introduction Figure 1-1
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4 Chapter 1 Introduction Figure 1-3
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6 Chapter 1 Introduction 3.5% of th
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8 Chapter 1 Introduction Example 1.
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10 Chapter 1 Introduction where mt
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12 Chapter 1 Introduction Figure 1-
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14 Chapter 1 Introduction n/12 6,
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16 Chapter 1 Introduction variable,
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18 Chapter 1 Introduction at once t
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20 Chapter 1 Introduction Example 1
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22 Chapter 1 Introduction ACF -0.2
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24 Chapter 1 Introduction Figure 1-
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26 Chapter 1 Introduction Figure 1-
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28 Chapter 1 Introduction can be co
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30 Chapter 1 Introduction If the op
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32 Chapter 1 Introduction The reest
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34 Chapter 1 Introduction Figure 1-
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36 Chapter 1 Introduction (a) The s
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38 Chapter 1 Introduction It can al
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40 Chapter 1 Introduction Problems
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42 Chapter 1 Introduction 1.8. Let
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44 Chapter 1 Introduction At this p
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46 Chapter 2 Stationary Processes T
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48 Chapter 2 Stationary Processes T
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50 Chapter 2 Stationary Processes i
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52 Chapter 2 Stationary Processes P
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54 Chapter 2 Stationary Processes I
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56 Chapter 2 Stationary Processes A
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58 Chapter 2 Stationary Processes 2
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60 Chapter 2 Stationary Processes w
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62 Chapter 2 Stationary Processes A
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64 Chapter 2 Stationary Processes I
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66 Chapter 2 Stationary Processes w
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68 Chapter 2 Stationary Processes P
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70 Chapter 2 Stationary Processes
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72 Chapter 2 Stationary Processes I
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74 Chapter 2 Stationary Processes a
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76 Chapter 2 Stationary Processes t
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78 Chapter 2 Stationary Processes P
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80 Chapter 2 Stationary Processes 2
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82 Chapter 2 Stationary Processes w
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84 Chapter 3 ARMA Models The proces
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86 Chapter 3 ARMA Models where θ0
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88 Chapter 3 ARMA Models The AR pol
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90 Chapter 3 ARMA Models moving ave
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92 Chapter 3 ARMA Models ACF -0.2 0
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94 Chapter 3 ARMA Models can be fou
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96 Chapter 3 ARMA Models Example 3.
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98 Chapter 3 ARMA Models is entirel
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100 Chapter 3 ARMA Models 3.3 Forec
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102 Chapter 3 ARMA Models and rn
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104 Chapter 3 ARMA Models and 2 E
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106 Chapter 3 ARMA Models where the
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108 Chapter 3 ARMA Models Problems
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110 Chapter 3 ARMA Models 3.10. By
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112 Chapter 4 Spectral Analysis 4.1
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114 Chapter 4 Spectral Analysis (ii
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116 Chapter 4 Spectral Analysis Not
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118 Chapter 4 Spectral Analysis Exa
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120 Chapter 4 Spectral Analysis Fig
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122 Chapter 4 Spectral Analysis Fig
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124 Chapter 4 Spectral Analysis The
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126 Chapter 4 Spectral Analysis fac
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128 Chapter 4 Spectral Analysis Fig
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130 Chapter 4 Spectral Analysis Sin
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132 Chapter 4 Spectral Analysis Fig
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134 Chapter 4 Spectral Analysis Pro
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136 Chapter 4 Spectral Analysis 4.9
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138 Chapter 5 Modeling and Forecast
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140 Chapter 5 Modeling and Forecast
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142 Chapter 5 Modeling and Forecast
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144 Chapter 5 Modeling and Forecast
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146 Chapter 5 Modeling and Forecast
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148 Chapter 5 Modeling and Forecast
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150 Chapter 5 Modeling and Forecast
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152 Chapter 5 Modeling and Forecast
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154 Chapter 5 Modeling and Forecast
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156 Chapter 5 Modeling and Forecast
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158 Chapter 5 Modeling and Forecast
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160 Chapter 5 Modeling and Forecast
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162 Chapter 5 Modeling and Forecast
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164 Chapter 5 Modeling and Forecast
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166 Chapter 5 Modeling and Forecast
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168 Chapter 5 Modeling and Forecast
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170 Chapter 5 Modeling and Forecast
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172 Chapter 5 Modeling and Forecast
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174 Chapter 5 Modeling and Forecast
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176 Chapter 5 Modeling and Forecast
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180 Chapter 6 Nonstationary and Sea
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182 Chapter 6 Nonstationary and Sea
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184 Chapter 6 Nonstationary and Sea
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186 Chapter 6 Nonstationary and Sea
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188 Chapter 6 Nonstationary and Sea
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190 Chapter 6 Nonstationary and Sea
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192 Chapter 6 Nonstationary and Sea
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194 Chapter 6 Nonstationary and Sea
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196 Chapter 6 Nonstationary and Sea
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198 Chapter 6 Nonstationary and Sea
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200 Chapter 6 Nonstationary and Sea
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202 Chapter 6 Nonstationary and Sea
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204 Chapter 6 Nonstationary and Sea
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206 Chapter 6 Nonstationary and Sea
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208 Chapter 6 Nonstationary and Sea
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210 Chapter 6 Nonstationary and Sea
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212 Chapter 6 Nonstationary and Sea
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214 Chapter 6 Nonstationary and Sea
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216 Chapter 6 Nonstationary and Sea
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218 Chapter 6 Nonstationary and Sea
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220 Chapter 6 Nonstationary and Sea
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224 Chapter 7 Multivariate Time Ser
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226 Chapter 7 Multivariate Time Ser
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228 Chapter 7 Multivariate Time Ser
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230 Chapter 7 Multivariate Time Ser
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232 Chapter 7 Multivariate Time Ser
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234 Chapter 7 Multivariate Time Ser
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236 Chapter 7 Multivariate Time Ser
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238 Chapter 7 Multivariate Time Ser
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240 Chapter 7 Multivariate Time Ser
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242 Chapter 7 Multivariate Time Ser
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244 Chapter 7 Multivariate Time Ser
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246 Chapter 7 Multivariate Time Ser
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248 Chapter 7 Multivariate Time Ser
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250 Chapter 7 Multivariate Time Ser
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252 Chapter 7 Multivariate Time Ser
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254 Chapter 7 Multivariate Time Ser
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256 Chapter 7 Multivariate Time Ser
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260 Chapter 8 State-Space Models li
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262 Chapter 8 State-Space Models In
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264 Chapter 8 State-Space Models Fi
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266 Chapter 8 State-Space Models To
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268 Chapter 8 State-Space Models wh
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270 Chapter 8 State-Space Models if
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272 Chapter 8 State-Space Models De
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274 Chapter 8 State-Space Models Wi
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276 Chapter 8 State-Space Models wh
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278 Chapter 8 State-Space Models Th
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280 Chapter 8 State-Space Models so
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282 Chapter 8 State-Space Models Fi
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284 Chapter 8 State-Space Models Th
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286 Chapter 8 State-Space Models an
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288 Chapter 8 State-Space Models We
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290 Chapter 8 State-Space Models Th
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292 Chapter 8 State-Space Models Ta
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294 Chapter 8 State-Space Models Th
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296 Chapter 8 State-Space Models wi
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298 Chapter 8 State-Space Models Fi
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300 Chapter 8 State-Space Models Fi
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302 Chapter 8 State-Space Models is
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304 Chapter 8 State-Space Models As
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306 Chapter 8 State-Space Models ma
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308 Chapter 8 State-Space Models Ta
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310 Chapter 8 State-Space Models Fi
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312 Chapter 8 State-Space Models b.
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314 Chapter 8 State-Space Models an
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316 Chapter 8 State-Space Models a.
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318 Chapter 9 Forecasting Technique
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320 Chapter 9 Forecasting Technique
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322 Chapter 9 Forecasting Technique
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324 Chapter 9 Forecasting Technique
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326 Chapter 9 Forecasting Technique
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328 Chapter 9 Forecasting Technique
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330 Chapter 9 Forecasting Technique
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332 Chapter 10 Further Topics are,
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334 Chapter 10 Further Topics be th
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336 Chapter 10 Further Topics Figur
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338 Chapter 10 Further Topics Notin
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340 Chapter 10 Further Topics 10.2
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342 Chapter 10 Further Topics Figur
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344 Chapter 10 Further Topics Figur
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346 Chapter 10 Further Topics Figur
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348 Chapter 10 Further Topics cumul
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350 Chapter 10 Further Topics Since
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352 Chapter 10 Further Topics Figur
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354 Chapter 10 Further Topics Figur
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356 Chapter 10 Further Topics value
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358 Chapter 10 Further Topics Chung
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360 Chapter 10 Further Topics and w
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362 Chapter 10 Further Topics where
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364 Chapter 10 Further Topics Figur
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366 Chapter 10 Further Topics 10.2.
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370 Appendix A Random Variables and
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372 Appendix A Random Variables and
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374 Appendix A Random Variables and
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376 Appendix A Random Variables and
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378 Appendix A Random Variables and
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380 Appendix A Random Variables and
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384 Appendix B Statistical Compleme
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386 Appendix B Statistical Compleme
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388 Appendix B Statistical Compleme
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390 Appendix B Statistical Compleme
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- Page 874: References Akaike, H. (1969), Fitti
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