@book{bonamente_graduate_2017,
	title = {Graduate {Texts} in {Physics} {Statistics} and {Analysis} of {Scientific} {Data}},
	isbn = {978-1-4939-6570-0},
	abstract = {This textbook covers probability theory and random variables, maximum- likelihood methods for single variables and two-variable datasets, andmore complex topics of data fitting, estimation of parameters, and confidence intervals. Among the topics that have recently become mainstream, Monte Carlo Markov chains occupy a special role. The last chapter of the book provides a comprehensive overview of Markov chains and Monte Carlo Markov chains, from theory to implementation.},
	author = {Bonamente, Massimiliano},
	year = {2017},
}

{"_id":"S6rxNxC5q5Fky2gP9","bibbaseid":"bonamente-graduatetextsinphysicsstatisticsandanalysisofscientificdata-2017","author_short":["Bonamente, M."],"bibdata":{"bibtype":"book","type":"book","title":"Graduate Texts in Physics Statistics and Analysis of Scientific Data","isbn":"978-1-4939-6570-0","abstract":"This textbook covers probability theory and random variables, maximum- likelihood methods for single variables and two-variable datasets, andmore complex topics of data fitting, estimation of parameters, and confidence intervals. Among the topics that have recently become mainstream, Monte Carlo Markov chains occupy a special role. The last chapter of the book provides a comprehensive overview of Markov chains and Monte Carlo Markov chains, from theory to implementation.","author":[{"propositions":[],"lastnames":["Bonamente"],"firstnames":["Massimiliano"],"suffixes":[]}],"year":"2017","bibtex":"@book{bonamente_graduate_2017,\n\ttitle = {Graduate {Texts} in {Physics} {Statistics} and {Analysis} of {Scientific} {Data}},\n\tisbn = {978-1-4939-6570-0},\n\tabstract = {This textbook covers probability theory and random variables, maximum- likelihood methods for single variables and two-variable datasets, andmore complex topics of data fitting, estimation of parameters, and confidence intervals. Among the topics that have recently become mainstream, Monte Carlo Markov chains occupy a special role. The last chapter of the book provides a comprehensive overview of Markov chains and Monte Carlo Markov chains, from theory to implementation.},\n\tauthor = {Bonamente, Massimiliano},\n\tyear = {2017},\n}\n\n\n\n","author_short":["Bonamente, M."],"key":"bonamente_graduate_2017","id":"bonamente_graduate_2017","bibbaseid":"bonamente-graduatetextsinphysicsstatisticsandanalysisofscientificdata-2017","role":"author","urls":{},"metadata":{"authorlinks":{}},"html":""},"bibtype":"book","biburl":"https://bibbase.org/zotero/dancili","dataSources":["sMzdddtr9jRe8zeKY"],"keywords":[],"search_terms":["graduate","texts","physics","statistics","analysis","scientific","data","bonamente"],"title":"Graduate Texts in Physics Statistics and Analysis of Scientific Data","year":2017}