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176. Applying Benford's Law for Assessing the Validity of Social Science Data
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177. Model-Based Clustering, Classification, and Density Estimation Using McLust in R (Chapman & Hall/Crc the R Series)
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178. Measure-Valued Branching Markov Processes
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179. Applying Benford's Law for Assessing the Validity of Social Science Data
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180. Applying Benford's Law for Assessing the Validity of Social Science Data
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181. The Mathematics of Shuffling Cards
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182. The Energy of Data and Distance Correlation
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183. Polya Urn Models (Chapman & Hall/Crc Texts in Statistical Science)
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185. Measure-Valued Branching Markov Processes
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186. The Mathematics of Shuffling Cards
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187. The Mathematics of Shuffling Cards
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188. Weak Convergence and Empirical Processes: With Applications to Statistics (Springer Series in Statistics)
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189. The Mathematics of Shuffling Cards
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190. Measure-Valued Branching Markov Processes
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191. The Mathematics of Shuffling Cards
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192. Weak Convergence and Empirical Processes
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193. The Energy of Data and Distance Correlation
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194. Applying Benford's Law for Assessing the Validity of Social Science Data
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195. Weak Convergence and Empirical Processes
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196. The Energy of Data and Distance Correlation (Chapman & Hall/Crc Monographs on Statistics and Applied Probability)
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