Large Sample Methods in Statistics (1994): An Introduction with ApplicationsCRC Press, 22 de nov. de 2017 - 394 páginas This text bridges the gap between sound theoretcial developments and practical, fruitful methodology by providing solid justification for standard symptotic statistical methods. It contains a unified survey of standard large sample theory and provides access to more complex statistical models that arise in diverse practical applications. |
Outras edições - Ver todos
Large Sample Methods in Statistics: An Introduction with Applications Pranab K. Sen,Julio M. Singer Visualização parcial - 1994 |
Large Sample Methods in Statistics (1994): An Introduction with Applications Pranab K. Sen,Julio M. Singer Prévia não disponível - 2017 |
Large Sample Methods in Statistics: An Introduction with Applications Pranab Kumar Sen,Julio da Motta Singer Prévia não disponível - 2013 |
Termos e frases comuns
alternative applications assume asymptotic asymptotic normality basic bounded Central Limit Theorem Chapter complete conclude condition consider consistency context continuous convergence corresponding defined definition denote dependent derive direct discussed distribution function elements equations estimator Example Exercise exists expressed extends fact finite follows further given hand hence holds illustrate implies important independent Inequality integer interest known large sample likelihood linear model martingale matrix mean methods mode moments normal normal distribution numbers observations obtain order statistics parameter positive possible practical present probability problem Proof properties provides random variables refer regularity replaced require respectively result reverse sequence setup similar simple situations statistics stochastic submartingale suitable Suppose termed theory usually variance vector verify weak convergence whereas write zero