Abstract
Sampling inspection as an instrument of intelligent statistical quality control should provide information about the process curve, i. e. the long run distribution of product quality. Moreover, it should adapt the sampling strategy to this information.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
ABRAMOWITZ, M. and STEGUN, I.A. (1965): Handbook of Mathematical Functions, New York: Dover.
BAILLIE, D.H. (1987): Multivariate Acceptance Sampling, lenz et al. (eds.), Frontiers in Statistical Quality Control 3, Heidelberg, Physica, 83–115.
COLLANI, E.V. (1986): The α-optimal Sampling Scheme, Journal of Quality Technology 18, 120–126.
JOHNSON, N.L. and KOTZ, S. (1970): Continuous Univariate Distributions-2, Boston: Houghton Mifflin Company.
KRUMBHOLZ, W. (1982): Die Bestimmung einfacher Attributprüfpläne unter Berücksichtigung von unvollständiger Vorinformation, Allgemeines Statistisches Archiv 66, 240–253.
LEHMANN, E.L. (1983): Theory of Point Estimation, New York: Wiley.
LESPERANCE, M.L. and KALBFLEISCH, J.D. (1992): An Algorithm for Computing the Nonparametric MLE of a Mixing Distribution, Journal of the American Statistical Association 87, 120–126.
LINDSAY, B.G. (1989): Moment matrices: Applications in Mixtures, Annals of Statistics 17 722–740.
LINDSAY, B.G. and BASAK, P. (1993): Multivariate Normal Mixtures: A Fast Consistent Method of Moments, Preprint.
MOOD, A.M., GRAYBILL, F.A. and BOES, D.C. (1974): Introduction to the Theory of Statistics, 3rd ed., Singapore: Mc Graw Hill.
MORRIS, C.N. (1982): Natural Exponential Families with Quadratic Variance Functions, Annals of Statistics 10 65–80.
MORRIS, C.N. (1983): Natural Exponential Families with Quadratic Variance Functions: Statistical theory, Annals of Statistics 11 515–529.
SCHMETTERER, L. (1974): Introduction to Mathematical Statistics, Berlin, Heidelberg, New York: Springer.
SEIDEL, W. (1992a): Minimax Regret Sampling Plans Based on Generalized Moments of the Prior Distribution, Lenz et al. (eds.), Frontiers in Statistical Quality Control 4, Heidelberg, Physica, 109–119.
SEIDEL, W. (1992b): The Influence of an Estimation Procedure on the Performance of the (u, γ)-Sampling Scheme in Statistical Quality Control, Mathl. Comput. Modelling 16, 67–75.
SEIDEL, W. (1993): A Note on Estimating Parameters of Partial Prior Information, Statistical Papers 34, 363–368.
WALTER, G.G. and HAMEDANI, G.G. (1988): Empiric Bayes Estimation of Hypergeometric Probability, Metrika 35, 127–143.
WASHIO, Y., MORIMOTO, H. and IKEDA, N. (1956): Unbiased Estimation Based on Sufficient Statistics, Bulletin of Mathematical Statistics 6, 69–93.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1997 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Seidel, W. (1997). Unbiased Estimation of Generalized Moments of Process Curves. In: Lenz, HJ., Wilrich, PT. (eds) Frontiers in Statistical Quality Control. Frontiers in Statistical Quality Control, vol 5. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-59239-3_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-59239-3_3
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-0984-8
Online ISBN: 978-3-642-59239-3
eBook Packages: Springer Book Archive