On approximating the distributions of goodness-of-fit test statistics based on the empirical distribution function: the case of unknown parameters.

M. Capasso; L. Alessi; M. Barigozzi; G. Pagiolo

On approximating the distributions of goodness-of-fit test statistics based on the empirical distribution function: the case of unknown parameters.

M. Capasso
, L. Alessi
, M. Barigozzi
, G. Pagiolo

extern

Research output: Contribution to journal › Article › Academic › peer-review

Original language	Undefined/Unknown
Pages (from-to)	157-167
Number of pages	11
Journal	Advances in Complex Systems
Volume	12
Issue number	2
Publication status	Published - 2009

Cite this

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title = "On approximating the distributions of goodness-of-fit test statistics based on the empirical distribution function: the case of unknown parameters.",

author = "M. Capasso and L. Alessi and M. Barigozzi and G. Pagiolo",

year = "2009",

language = "Undefined/Unknown",

volume = "12",

pages = "157--167",

journal = "Advances in Complex Systems",

issn = "0219-5259",

publisher = "World Scienctific",

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}

TY - JOUR

T1 - On approximating the distributions of goodness-of-fit test statistics based on the empirical distribution function: the case of unknown parameters.

AU - Capasso, M.

AU - Alessi, L.

AU - Barigozzi, M.

AU - Pagiolo, G.

PY - 2009

Y1 - 2009

M3 - Article

SN - 0219-5259

VL - 12

SP - 157

EP - 167

JO - Advances in Complex Systems

JF - Advances in Complex Systems

IS - 2

ER -