{ "item_title" : "Weak Convergence of Stochastic Processes", "item_author" : [" Vidyadhar S. Mandrekar "], "item_description" : "The purpose of this book is to present results on the subject of weak convergence in function spaces to study invariance principles in statistical applications to dependent random variables, U-statistics, censor data analysis. Different techniques, formerly available only in a broad range of literature, are for the first time presented here in a self-contained fashion.Contents:Weak convergence of stochastic processesWeak convergence in metric spacesWeak convergence on C[0, 1] and D[0,∞)Central limit theorem for semi-martingales and applicationsCentral limit theorems for dependent random variablesEmpirical processBibliography", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/11/047/542/3110475421_b.jpg", "price_data" : { "retail_price" : "113.99", "online_price" : "113.99", "our_price" : "113.99", "club_price" : "113.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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