Breakthroughs in Statistics (eBook, PDF)
Redaktion: Kotz, Samuel; Johnson, Norman L.
Schade – dieser Artikel ist leider ausverkauft. Sobald wir wissen, ob und wann der Artikel wieder verfügbar ist, informieren wir Sie an dieser Stelle.
Breakthroughs in Statistics (eBook, PDF)
Redaktion: Kotz, Samuel; Johnson, Norman L.
- Format: PDF
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei
bücher.de, um das eBook-Abo tolino select nutzen zu können.
Hier können Sie sich einloggen
Hier können Sie sich einloggen
Sie sind bereits eingeloggt. Klicken Sie auf 2. tolino select Abo, um fortzufahren.
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
Volume III includes more selections of articles that have initiated fundamental changes in statistical methodology. It contains articles published before 1980 that were overlooked in the previous two volumes plus articles from the 1980's - all of them chosen after consulting many of today's leading statisticians.
- Geräte: PC
- ohne Kopierschutz
- eBook Hilfe
- Größe: 50.75MB
Andere Kunden interessierten sich auch für
Volume III includes more selections of articles that have initiated fundamental changes in statistical methodology. It contains articles published before 1980 that were overlooked in the previous two volumes plus articles from the 1980's - all of them chosen after consulting many of today's leading statisticians.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Springer US
- Seitenzahl: 561
- Erscheinungstermin: 1. Dezember 2013
- Englisch
- ISBN-13: 9781461206675
- Artikelnr.: 44052363
- Verlag: Springer US
- Seitenzahl: 561
- Erscheinungstermin: 1. Dezember 2013
- Englisch
- ISBN-13: 9781461206675
- Artikelnr.: 44052363
Samuel Kotz, PhD, honorary Doctor of Science, is professor and research scholar at the Department of Engineering Management and Systems Engineering at George Washington University in Washington, D.C.
1. Introduction by R.E.Fancher: Galton,F. (1889) Co-relations and their
measurement, chiefly from anthropometric data; 2. Introduction by K. Dietz:
McKendrick, A.G.(1926) Applications of mathematics to medical problems;
3.Introduction by D.R. Cox: Yates, F.and Cochran, W.G.(1938) The analysis
of groups of experiments; 4. Introduction by P.K. Sen: Rao, C.R.(1948)
Large sample tests of statistical hypotheses concerning several parameters
with application to problems of estimation; 5. Introduction by M.H. Gail:
Cornfield, J.(1951) A method of estimating comparative rates from clinical
data. Applications to cancer of the lung, breast and cervix; 6.
Introduction by M. Calder and R.A. Davis: Whittle, P.(1953) The analysis of
multiple stationary time series; 7. Introduction by E. Ronchetti: Daniels,
H.E.(1954) Saddlepoint approximations in statistics; 8. Introduction by
I.J. Good: Cooley, J.W. and Turkey, J.W.(1965) An algorithm for the machine
calculation of complex Fourier series; 9. Introduction by R.J. Beran:
Hajek, J.(1970) A characterization of limiting distributions of regular
estimates; 10. Introduction by T.L. Lai: Hastings, W.K.(1970) Monte Carlo
sampling methods using Markov chains and their applications; 11.
Introduction by J.J. Deely: Lindley, D.V.and Smith, A.F.M.(1972) Bayes
estimates for the linear model; 12. Introduction by R.L. Smith: Besag,
J.(1974) Spatial interaction and the statistical analysis of lattice
systems; 13. Introduction by J.F. Pfanzagl: Levit, B.Ya.(1974) On
optimality of some statistical estimates; 14. Introduction by I.W.
McKeague: Aalen, O.(1978) Nonparametric estimation of partial transition
probabilities in multiple decrement models; 15. Introduction by G.G. Letac:
Morris, C.N.(1982) Natural exponential families with quadratic variance
functions; 16. Introduction by T.H. DiCiccio: Barndorff-Nielsen, O.E.(1983)
On a formula for the distribution of the maximum likelihood estimator; 17.
Introduction by P.J. Huber: Geman, S. and Geman, D.(1984) Stochastic
relaxation, Gibbs distributions, and the Bayesian restoration of images;
18. Introduction by D.G. Simpson: Rousseeuw, P.J.(1984) Least median of
squares regressions; 19. Introduction by P.J. Diggle. Liang, K.Y.and Zeger,
S.L.(1986) Longitudinal data analysis using generalized linear models; 20.
Introduction by E. Mammen. Hall, P.(1988) Theoretical comparison of
bootstrap confidence intervals; 21. Introduction by D.M. Timerington:
Gelfand, A.E.and Smith, A.F.M.(1990) Sampling-based approaches to
calculating marginal densities.
measurement, chiefly from anthropometric data; 2. Introduction by K. Dietz:
McKendrick, A.G.(1926) Applications of mathematics to medical problems;
3.Introduction by D.R. Cox: Yates, F.and Cochran, W.G.(1938) The analysis
of groups of experiments; 4. Introduction by P.K. Sen: Rao, C.R.(1948)
Large sample tests of statistical hypotheses concerning several parameters
with application to problems of estimation; 5. Introduction by M.H. Gail:
Cornfield, J.(1951) A method of estimating comparative rates from clinical
data. Applications to cancer of the lung, breast and cervix; 6.
Introduction by M. Calder and R.A. Davis: Whittle, P.(1953) The analysis of
multiple stationary time series; 7. Introduction by E. Ronchetti: Daniels,
H.E.(1954) Saddlepoint approximations in statistics; 8. Introduction by
I.J. Good: Cooley, J.W. and Turkey, J.W.(1965) An algorithm for the machine
calculation of complex Fourier series; 9. Introduction by R.J. Beran:
Hajek, J.(1970) A characterization of limiting distributions of regular
estimates; 10. Introduction by T.L. Lai: Hastings, W.K.(1970) Monte Carlo
sampling methods using Markov chains and their applications; 11.
Introduction by J.J. Deely: Lindley, D.V.and Smith, A.F.M.(1972) Bayes
estimates for the linear model; 12. Introduction by R.L. Smith: Besag,
J.(1974) Spatial interaction and the statistical analysis of lattice
systems; 13. Introduction by J.F. Pfanzagl: Levit, B.Ya.(1974) On
optimality of some statistical estimates; 14. Introduction by I.W.
McKeague: Aalen, O.(1978) Nonparametric estimation of partial transition
probabilities in multiple decrement models; 15. Introduction by G.G. Letac:
Morris, C.N.(1982) Natural exponential families with quadratic variance
functions; 16. Introduction by T.H. DiCiccio: Barndorff-Nielsen, O.E.(1983)
On a formula for the distribution of the maximum likelihood estimator; 17.
Introduction by P.J. Huber: Geman, S. and Geman, D.(1984) Stochastic
relaxation, Gibbs distributions, and the Bayesian restoration of images;
18. Introduction by D.G. Simpson: Rousseeuw, P.J.(1984) Least median of
squares regressions; 19. Introduction by P.J. Diggle. Liang, K.Y.and Zeger,
S.L.(1986) Longitudinal data analysis using generalized linear models; 20.
Introduction by E. Mammen. Hall, P.(1988) Theoretical comparison of
bootstrap confidence intervals; 21. Introduction by D.M. Timerington:
Gelfand, A.E.and Smith, A.F.M.(1990) Sampling-based approaches to
calculating marginal densities.
by S. Geisser.- Fisher, R.A. (1922) On the Mathematical Foundations of Theoretical Statistics.- by T.W. Anderson.- Hotelling, H. (1931) The Generalization of Student's Ratio.- by E.L. Lehmann.- Neyman, J. and Pearson, E.S. (1933) On the Problem of the Most Efficient Tests of Statistical Hypotheses.- by D.A.S. Fraser.- by D.A.S. Fraser.- by R.E. Barlow.- de Finetti, B. (1937) Foresight: It's Logical Laws, Its Subjective Sources.- by M.R. Leadbetter.- Cramér, H. (1942) On Harmonic Analysis in Certain Functional Spaces.- by R.L. Smith.- Gnedenko, B.V. (1943) On the Limiting Distribution of the Maximum Term in a Random Series.- by P.K. Pathak.- Rao, C.R. (1945) Information and the Accuracy Attainable in the Estimation of Statistical Parameters.- by B.K. Ghosh.- Wald, A. (1945) Sequential Tests of Statistical Hypotheses.- by P.K. Sen.- Hoeffding, W. (1948) A Class of Statistics with Asymptotically Normal Distribution.- by L. Weiss.- Wald, A. (1949) Statistical Decision Functions.- by D.V. Lindley.- by D.V. Lindley.- by I.J. Good.- Robbins, H.E. (1955) An Empirical Bayes Approach to Statistics.- by H.P. Wynn.- Kiefer, J.C. (1959) Optimum Experimental Designs.- by B. Efron.- by B. Efron.- by J.F. Bjþrnstad.- Birnbaum, A. (1962) On the Foundations of Statistical Inference.- by W.U. DuMouchel.- Edwards, W., Lindman, H., and Savage, L.J. (1963) Bayesian Statistical Inference for Psychological Research.- by N. Reid.- Fraser, D.A.S. (1966) Structural Probability and a Generalization.- by J. de Leeuw.- Akaike, H. (1973) Information Theory and an Extension of the Maximum Likelihood Principle.
1. Introduction by R.E.Fancher: Galton,F. (1889) Co-relations and their
measurement, chiefly from anthropometric data; 2. Introduction by K. Dietz:
McKendrick, A.G.(1926) Applications of mathematics to medical problems;
3.Introduction by D.R. Cox: Yates, F.and Cochran, W.G.(1938) The analysis
of groups of experiments; 4. Introduction by P.K. Sen: Rao, C.R.(1948)
Large sample tests of statistical hypotheses concerning several parameters
with application to problems of estimation; 5. Introduction by M.H. Gail:
Cornfield, J.(1951) A method of estimating comparative rates from clinical
data. Applications to cancer of the lung, breast and cervix; 6.
Introduction by M. Calder and R.A. Davis: Whittle, P.(1953) The analysis of
multiple stationary time series; 7. Introduction by E. Ronchetti: Daniels,
H.E.(1954) Saddlepoint approximations in statistics; 8. Introduction by
I.J. Good: Cooley, J.W. and Turkey, J.W.(1965) An algorithm for the machine
calculation of complex Fourier series; 9. Introduction by R.J. Beran:
Hajek, J.(1970) A characterization of limiting distributions of regular
estimates; 10. Introduction by T.L. Lai: Hastings, W.K.(1970) Monte Carlo
sampling methods using Markov chains and their applications; 11.
Introduction by J.J. Deely: Lindley, D.V.and Smith, A.F.M.(1972) Bayes
estimates for the linear model; 12. Introduction by R.L. Smith: Besag,
J.(1974) Spatial interaction and the statistical analysis of lattice
systems; 13. Introduction by J.F. Pfanzagl: Levit, B.Ya.(1974) On
optimality of some statistical estimates; 14. Introduction by I.W.
McKeague: Aalen, O.(1978) Nonparametric estimation of partial transition
probabilities in multiple decrement models; 15. Introduction by G.G. Letac:
Morris, C.N.(1982) Natural exponential families with quadratic variance
functions; 16. Introduction by T.H. DiCiccio: Barndorff-Nielsen, O.E.(1983)
On a formula for the distribution of the maximum likelihood estimator; 17.
Introduction by P.J. Huber: Geman, S. and Geman, D.(1984) Stochastic
relaxation, Gibbs distributions, and the Bayesian restoration of images;
18. Introduction by D.G. Simpson: Rousseeuw, P.J.(1984) Least median of
squares regressions; 19. Introduction by P.J. Diggle. Liang, K.Y.and Zeger,
S.L.(1986) Longitudinal data analysis using generalized linear models; 20.
Introduction by E. Mammen. Hall, P.(1988) Theoretical comparison of
bootstrap confidence intervals; 21. Introduction by D.M. Timerington:
Gelfand, A.E.and Smith, A.F.M.(1990) Sampling-based approaches to
calculating marginal densities.
measurement, chiefly from anthropometric data; 2. Introduction by K. Dietz:
McKendrick, A.G.(1926) Applications of mathematics to medical problems;
3.Introduction by D.R. Cox: Yates, F.and Cochran, W.G.(1938) The analysis
of groups of experiments; 4. Introduction by P.K. Sen: Rao, C.R.(1948)
Large sample tests of statistical hypotheses concerning several parameters
with application to problems of estimation; 5. Introduction by M.H. Gail:
Cornfield, J.(1951) A method of estimating comparative rates from clinical
data. Applications to cancer of the lung, breast and cervix; 6.
Introduction by M. Calder and R.A. Davis: Whittle, P.(1953) The analysis of
multiple stationary time series; 7. Introduction by E. Ronchetti: Daniels,
H.E.(1954) Saddlepoint approximations in statistics; 8. Introduction by
I.J. Good: Cooley, J.W. and Turkey, J.W.(1965) An algorithm for the machine
calculation of complex Fourier series; 9. Introduction by R.J. Beran:
Hajek, J.(1970) A characterization of limiting distributions of regular
estimates; 10. Introduction by T.L. Lai: Hastings, W.K.(1970) Monte Carlo
sampling methods using Markov chains and their applications; 11.
Introduction by J.J. Deely: Lindley, D.V.and Smith, A.F.M.(1972) Bayes
estimates for the linear model; 12. Introduction by R.L. Smith: Besag,
J.(1974) Spatial interaction and the statistical analysis of lattice
systems; 13. Introduction by J.F. Pfanzagl: Levit, B.Ya.(1974) On
optimality of some statistical estimates; 14. Introduction by I.W.
McKeague: Aalen, O.(1978) Nonparametric estimation of partial transition
probabilities in multiple decrement models; 15. Introduction by G.G. Letac:
Morris, C.N.(1982) Natural exponential families with quadratic variance
functions; 16. Introduction by T.H. DiCiccio: Barndorff-Nielsen, O.E.(1983)
On a formula for the distribution of the maximum likelihood estimator; 17.
Introduction by P.J. Huber: Geman, S. and Geman, D.(1984) Stochastic
relaxation, Gibbs distributions, and the Bayesian restoration of images;
18. Introduction by D.G. Simpson: Rousseeuw, P.J.(1984) Least median of
squares regressions; 19. Introduction by P.J. Diggle. Liang, K.Y.and Zeger,
S.L.(1986) Longitudinal data analysis using generalized linear models; 20.
Introduction by E. Mammen. Hall, P.(1988) Theoretical comparison of
bootstrap confidence intervals; 21. Introduction by D.M. Timerington:
Gelfand, A.E.and Smith, A.F.M.(1990) Sampling-based approaches to
calculating marginal densities.
by S. Geisser.- Fisher, R.A. (1922) On the Mathematical Foundations of Theoretical Statistics.- by T.W. Anderson.- Hotelling, H. (1931) The Generalization of Student's Ratio.- by E.L. Lehmann.- Neyman, J. and Pearson, E.S. (1933) On the Problem of the Most Efficient Tests of Statistical Hypotheses.- by D.A.S. Fraser.- by D.A.S. Fraser.- by R.E. Barlow.- de Finetti, B. (1937) Foresight: It's Logical Laws, Its Subjective Sources.- by M.R. Leadbetter.- Cramér, H. (1942) On Harmonic Analysis in Certain Functional Spaces.- by R.L. Smith.- Gnedenko, B.V. (1943) On the Limiting Distribution of the Maximum Term in a Random Series.- by P.K. Pathak.- Rao, C.R. (1945) Information and the Accuracy Attainable in the Estimation of Statistical Parameters.- by B.K. Ghosh.- Wald, A. (1945) Sequential Tests of Statistical Hypotheses.- by P.K. Sen.- Hoeffding, W. (1948) A Class of Statistics with Asymptotically Normal Distribution.- by L. Weiss.- Wald, A. (1949) Statistical Decision Functions.- by D.V. Lindley.- by D.V. Lindley.- by I.J. Good.- Robbins, H.E. (1955) An Empirical Bayes Approach to Statistics.- by H.P. Wynn.- Kiefer, J.C. (1959) Optimum Experimental Designs.- by B. Efron.- by B. Efron.- by J.F. Bjþrnstad.- Birnbaum, A. (1962) On the Foundations of Statistical Inference.- by W.U. DuMouchel.- Edwards, W., Lindman, H., and Savage, L.J. (1963) Bayesian Statistical Inference for Psychological Research.- by N. Reid.- Fraser, D.A.S. (1966) Structural Probability and a Generalization.- by J. de Leeuw.- Akaike, H. (1973) Information Theory and an Extension of the Maximum Likelihood Principle.