An intermediate-level treatment of Bayesian hierarchical models and their applications, this reference demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables and in methods where parameters can be treated as random collections.
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An intermediate-level treatment of Bayesian hierarchical models and their applications, this reference demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables and in methods where parameters can be treated as random collections.
Read Less
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Seller's Description:
Fair. Size: 9x6x1; Binding is tight, sturdy, and square; shelfwear very light. A handful of markings; pages in the appendix have the top outer corner clipped. From an academic's private collection. A nice reading/study copy. Ships from Dinkytown in Minneapolis, Minnesota. Due to the size/weight of this book extra charges may apply for international shipping.
