-
Achmus, S. (2000).
-
Nichtparametrische additive Modelle, Doctoral Thesis,
Technical University of Braunschweig, Germany.
-
Ahn, H. & Powell, J. L. (1993).
-
Semiparametric selection of censored selection models with a
nonparametric selection mechanism, Econometrica 58: 3-29.
-
Amemiya, T. (1984).
-
Tobit models: A survey, Journal of Econometrics 24: 3-61.
-
Andrews, D. W. K. & Whang, Y.-J. (
1990).
-
Additive interactive regression models: circumvention of the curse of
dimensionality, Econometric Theory 6: 466-479.
-
Begun, J., Hall, W., Huang, W. & Wellner, J. (
1983).
-
Information and asymptotic efficiency in parametric-nonparametric
models, Annals of Statistics 11: 432-452.
-
Berndt, E. (1991).
-
The Practice of Econometrics, Addison-Wesley.
-
Bickel, P. & Doksum, K. (1981).
-
An analysis of transformations revisited, Journal of the
American Statistical Association 76: 296-311.
-
Bickel, P., Klaassen, C., Ritov, Y. & Wellner, J. (
1993).
-
Efficient and Adaptive Estimation for Semiparametric Models,
The Johns Hopkins University Press.
-
Bickel, P. & Rosenblatt, M. (1973)
- .
On some global measures of the deviations of density function
estimators, Annals of Statistics 1: 1071-1095.
-
Bierens, H. (1990).
-
A consistent conditional moment test of functional form, Econometrica 58: 1443-1458.
-
Bierens, H. & Ploberger, W. (1997)
- .
Asymptotic theory of integrated conditional moment tests, Econometrica 65: 1129-1151.
-
Bonneu, M. & Delecroix, M. (1992).
-
Estimation semiparamétrique dans les modèles explicatifs
conditionnels à indice simple, Cahier de gremaq, 92.09.256, GREMAQ,
Université Toulouse I.
-
Bonneu, M., Delecroix, M. & Malin, E. (
1993).
-
Semiparametric versus nonparametric estimation in single index
regression model: A computational approach, Computational Statistics
8: 207-222.
-
Bossaerts, P., Hafner, C. & Härdle, W. (
1996).
-
Foreign exchange rates have surprising volatility, in P. M.
Robinson & M. Rosenblatt (eds), Athens Conference on Applied
Probability and Time Series Analysis. Volume II: Time Series Analysis. In
Memory of E.J. Hannan, Lecture Notes in Statistics, Springer, pp. 55-72.
-
Boularan, J., Ferré, L. & Vieu, P. (
1994).
-
Growth curves: a two-stage nonparametric approach, Journal of
Statistical Planning and Inference 38: 327-350.
-
Bowman, A. & Azzalini, A. (1997).
-
Applied Smoothing Techniques for Data Analysis, Oxford
University Press, Oxford, UK.
-
Box, G. & Cox, D. (1964).
-
An analysis of transformations, Journal of the Royal Statistical
Society, Series B 26: 211-243.
-
Breiman, L. & Friedman, J. H. (
1985).
-
Estimating optimal transformations for multiple regression and
correlations (with discussion), Journal of the American Statistical
Association 80(391): 580-619.
-
Buja, A., Hastie, T. J. & Tibshirani, R. J. (
1989).
-
Linear smoothers and additive models (with discussion), Annals
of Statistics 17: 453-555.
-
Burda, M. (1993).
-
The determinants of East-West German migration, European
Economic Review 37: 452-461.
-
Cao, R., Cuevas, A. & González Manteiga, W. (
1994).
-
A comparative study of several smoothing methods in density
estimation, Computational Statistics & Data Analysis 17(2): 153-176.
-
Carroll, R. J., Fan, J., Gijbels, I. & Wand, M. P. (
1997).
-
Generalized partially linear single-index models, Journal of
the American Statistical Association 92: 477-489.
-
Carroll, R. J., Härdle, W. & Mammen, E. (
2002).
-
Estimation in an additive model when the components are linked
parametrically, Econometric Theory 18(4): 886-912.
-
Chaudhuri, P. & Marron, J. S. (
1999).
-
SiZer for exploration of structures in curves, Journal of the
American Statistical Association 94: 807-823.
-
Chen, R., Liu, J. S. & Tsay, R. S. (
1995).
-
Additivity tests for nonlinear autoregression, Biometrika 82: 369-383.
-
Cleveland, W. S. (1979).
-
Robust locally-weighted regression and smoothing scatterplots, Journal of the American Statistical Association 74: 829-836.
-
Collomb, G. (1985).
-
Nonparametric regression - an up-to-date bibliography, Statistics 2: 309-324.
-
Cosslett, S. (1983).
-
Distribution-free maximum likelihood estimation of the binary choice
model, Econometrica 51: 765-782.
-
Cosslett, S. (1987).
-
Efficiency bounds for distribution-free estimators of the binary
choice model, Econometrica 55: 559-586.
-
Dalelane, C. (1999).
-
Bootstrap confidence bands for the integration estimator in additive
models, Diploma thesis, Department of Mathematics,
Humboldt-Universität zu Berlin.
-
Daubechies, I. (1992).
-
Ten Lectures on Wavelets, SIAM, Philadelphia, Pennsylvania.
-
Deaton, A. & Muellbauer, J. (1980)
- .
Economics and Consumer Behavior, Cambridge University Press,
Cambridge.
-
Delecroix, M., Härdle, W. & Hristache, M. (
2003).
-
Efficient estimation in conditional single-index regression, Journal of Multivariate Analysis 86(2): 213-226.
-
Delgado, M. A. & Mora, J. (1995).
-
Nonparametric and semiparametric estimation with discrete
regressors, Econometrica 63(6): 1477-1484.
-
Denby, L. (1986).
-
Smooth regression functions, Statistical report 26, AT&T Bell
Laboratories.
-
Dette, H. (1999).
-
A consistent test for the functional form of a regression based on a
difference of variance estimators, Annals of Statistics 27: 1012-1040.
-
Dette, H., von Lieres und Wilkau, C. & Sperlich, S.
(2004).
-
A comparison of different nonparametric methods for inference on
additive models, Nonparametric Statistics 16.
forthcoming.
-
Dobson, A. J. (2001).
-
An Introduction to Generalized Linear Models, second edn,
Chapman and Hall, London.
-
Donoho, D. L. & Johnstone, I. M. (
1994).
-
Ideal spatial adaptation by wavelet shrinkage, Biometrika 81: 425-455.
-
Donoho, D. L. & Johnstone, I. M. (
1995).
-
Adapting to unknown smoothness via wavelet shrinkage, Journal of
the American Statistical Association 90: 1200-1224.
-
Donoho, D. L., Johnstone, I. M., Kerkyacharian, G. & Picard, D.
(1995).
-
Wavelet shrinkage: Asymptopia? (with discussion), Journal of the
Royal Statistical Society, Series B 57: 301-369.
-
Duan, N. & Li, K.-C. (1991).
-
Slicing regression: A link-free regression method, Annals of
Statistics 19(2): 505-530.
-
Duin, R. P. W. (1976).
-
On the choice of smoothing parameters of Parzen estimators of
probability density functions, IEEE Transactions on Computers 25: 1175-1179.
-
Eilers, P. H. C. & Marx, B. D. (
1996).
-
Flexible smoothing with b-splines and penalties (with discussion,
Statistical Science 11: 89-121.
-
Epanechnikov, V. (1969).
-
Nonparametric estimation of a multidimensional probability density,
Teoriya Veroyatnostej i Ee Primeneniya 14: 156-162.
-
Eubank, R. L. (1999).
-
Nonparametric Regression and Spline Smoothing, Marcel Dekker,
New York.
-
Eubank, R. L., Hart, J. D., Simpson, D. G. & Stefanski, L. A.
(1995).
-
Testing for additivity in nonparametric regression, Annals of
Statistics 23: 1896-1920.
-
Eubank, R. L., Kambour, E. L., Kim, J. T., Klipple, K., Reese, C. S.
& Schimek, M. G. (1998).
-
Estimation in partially linear models, Computational Statistics
& Data Analysis 29: 27-34.
-
Fahrmeir, L. & Tutz, G. (1994).
-
Multivariate Statistical Modelling Based on Generalized Linear
Models, Springer.
-
Fan, J. & Gijbels, I. (1996).
-
Local Polynomial Modelling and Its Applications, Vol. 66 of
Monographs on Statistics and Applied Probability, Chapman and Hall, New
York.
-
Fan, J., Härdle, W. & Mammen, E. (
1998).
-
Direct estimation of low-dimensional components in additive models,
Annals of Statistics 26: 943-971.
-
Fan, J. & Li, Q. (1996).
-
Consistent model specification test: Omitted variables and
semiparametric forms, Econometrica 64: 865-890.
-
Fan, J. & Marron, J. S. (1992).
-
Best possible constant for bandwidth selection, Annals of
Statistics 20: 2057-2070.
-
Fan, J. & Marron, J. S. (1994).
-
Fast implementations of nonparametric curve estimators, Journal
of Computational and Graphical Statistics 3(1): 35-56.
-
Fan, J. & Müller, M. (1995).
-
Density and regression smoothing, in W. Härdle, S. Klinke
& B. A. Turlach (eds), XploRe - an interactive statistical
computing environment, Springer, pp. 77-99.
-
Friedman, J. H. (1987).
-
Exploratory projection pursuit, Journal of the American
Statistical Association 82: 249-266.
-
Friedman, J. H. & Stuetzle, W. (
1981).
-
Projection pursuit regression, Journal of the American
Statistical Association 76(376): 817-823.
-
Friedman, J. H. & Stuetzle, W. (
1982).
-
Smoothing of scatterplots, Technical report, Department of
Statistics, Stanford.
-
Fuss, M., McFadden, D. & Mundlak, Y. (
1978).
-
A survey of functional forms in the economic analysis of production,
in M. Fuss & D. McFadden (eds), Production Economics: A
Dual Approach to Theory and Applications, North-Holland, Amsterdam,
pp. 219-268.
-
Gallant, A. & Nychka, D. (1987).
-
Semi-nonparametric maximum likelihood estimation, Econometrica
55(2): 363-390.
-
Gasser, T. & Müller, H. G. (1984)
- .
Estimating regression functions and their derivatives by the kernel
method, Scandinavian Journal of Statistics 11: 171-185.
-
Gill, J. (2000).
-
Generalized Linear Models: A Unified Approach, Sage University
Paper Series on Quantitative Applications in the Social Sciences, 07-134,
Thousand Oaks, CA.
-
Gill, R. D. (1989).
-
Non- and semi-parametric maximum likelihood estimators and the von
Mises method (Part I), Scandinavian Journal of Statistics 16: 97-128.
-
Gill, R. D. & van der Vaart, A. W. (
1993).
-
Non- and semi-parametric maximum likelihood estimators and the von
Mises method (Part II), Scandinavian Journal of Statistics 20: 271-288.
-
González Manteiga, W. & Cao, R. (
1993).
-
Testing hypothesis of general linear model using nonparametric
regression estimation, Test 2: 161-189.
-
Gozalo, P. L. & Linton, O. (2001).
-
A nonparametric test of additivity in generalized nonparametric
regression with estimated parameters, Journal of Econometrics 104: 1-48.
-
Grasshoff, U., Schwalbach, J. & Sperlich, S. (
1999).
-
Executive pay and corporate financial performance. an explorative
data analysis, Working paper 99-84 (33), Universidad Carlos III de
Madrid.
-
Green, P. J. & Silverman, B. W. (
1994).
-
Nonparametric Regression and Generalized Linear Models, Vol. 58
of Monographs on Statistics and Applied Probability, Chapman and Hall,
London.
-
Green, P. J. & Yandell, B. S. (
1985).
-
Semi-parametric generalized linear models, Proceedings 2nd
International GLIM Conference, Vol. 32 of Lecture Notes in Statistics
32, Springer, New York, pp. 44-55.
-
GSOEP (1991).
-
Das Sozio-ökonomische Panel (SOEP) im Jahre 1990/91,
Projektgruppe ``Das Sozio-ökonomische Panel'', Deutsches Institut
für Wirtschaftsforschung.
Vierteljahreshefte zur Wirtschaftsforschung, pp. 146-155.
-
Habbema, J. D. F., Hermans, J. & van den Broek, K. (
1974).
-
A stepwise discrimination analysis program using density estimation,
COMPSTAT '74. Proceedings in Computational Statistics, Physica, Vienna.
-
Hall, P. & Marron, J. S. (1991).
-
Local minima in cross-validation functions, Journal of the
Royal Statistical Society, Series B 53: 245-252.
-
Hall, P., Marron, J. S. & Park, B. U. (
1992).
-
Smoothed cross-validation, Probability Theory and Related
Fields 92: 1-20.
-
Hall, P., Sheather, S. J., Jones, M. C. & Marron, J. S.
(1991).
-
On optimal data-based bandwidth selection in kernel density
estimation, Biometrika 78: 263-269.
-
Han, A. (1987).
-
Non-parametric analysis of a generalized regression model, Journal of Econometrics 35: 303-316.
-
Hardin, J. & Hilbe, J. (2001).
-
Generalized Linear Models and Extensions, Stata Press.
-
Härdle, W. (1990).
-
Applied Nonparametric Regression, Econometric Society
Monographs No. 19, Cambridge University Press.
-
Härdle, W. (1991).
-
Smoothing Techniques, With Implementations in S, Springer, New
York.
-
Härdle, W., Huet, S., Mammen, E. & Sperlich, S.
(2004).
-
Bootstrap inference in semiparametric generalized additive models,
Econometric Theory 20: to appear.
-
Härdle, W., Kerkyacharian, G., Picard, D. & Tsybakov, A. B.
(1998).
-
Wavelets, Approximation, and Statistical Applications,
Springer, New York.
-
Härdle, W. & Mammen, E. (1993).
-
Testing parametric versus nonparametric regression, Annals of
Statistics 21: 1926-1947.
-
Härdle, W., Mammen, E. & Müller, M. (
1998).
-
Testing parametric versus semiparametric modelling in generalized
linear models, Journal of the American Statistical Association 93: 1461-1474.
-
Härdle, W. & Müller, M. (
2000).
-
Multivariate and semiparametric kernel regression, in
M. Schimek (ed.), Smoothing and Regression, Wiley, New York,
pp. 357-391.
-
Härdle, W. & Scott, D. W. (
1992).
-
Smoothing in by weighted averaging using rounded points, Computational Statistics 7: 97-128.
-
Härdle, W., Sperlich, S. & Spokoiny, V. (
2001).
-
Structural tests in additive regression, Journal of the American
Statistical Association 96(456): 1333-1347.
-
Härdle, W. & Stoker, T. M. (1989)
- .
Investigating smooth multiple regression by the method of average
derivatives, Journal of the American Statistical Association 84: 986-995.
-
Härdle, W. & Tsybakov, A. B. (
1997).
-
Local polynomial estimators of the volatility function in
nonparametric autoregression, Journal of Econometrics 81(1): 223-242.
-
Harrison, D. & Rubinfeld, D. L. (
1978).
-
Hedonic prices and the demand for clean air, J. Environ.
Economics and Management 5: 81-102.
-
Hart, J. D. (1997).
-
onparametric Smoothing and Lack-of-Fit Tests, Springer, New
York.
-
Hastie, T. J. & Tibshirani, R. J. (
1986).
-
Generalized additive models (with discussion), Statistical
Science 1(2): 297-318.
-
Hastie, T. J. & Tibshirani, R. J. (
1990).
-
Generalized Additive Models, Vol. 43 of Monographs on
Statistics and Applied Probability, Chapman and Hall, London.
-
Heckman, J. (1976).
-
The common structure of statistical models of truncation, sample
selection and limited dependent variables and a simple estimator for such
model, Annals of Economic and Social Measurement 5: 475-492.
-
Heckman, J. (1979).
-
Sample selection bias as a specification error, Econometrica
47: 153-161.
-
Hengartner, N., Kim, W. & Linton, O. (
1999).
-
A computationally efficient oracle estimator for additive
nonparametric regression with bootstrap confidence intervals, Journal of
Computational and Graphical Statistics 8: 1-20.
-
Honoré, B. E. & Powell, J. L. (
1994).
-
Pairwise difference estimators of censored and truncated regression
models, Journal of Econometrics 64: 241-278.
-
Horowitz, J. L. (1993).
-
Semiparametric and nonparametric estimation of quantal response
models, in G. S. Maddala, C. R. Rao & H. D. Vinod (eds),
Handbook of Statistics, Elsevier Science Publishers, pp. 45-72.
-
Horowitz, J. L. (1996).
-
Semiparametric estimation of a regression model with an unknown
transformation of the dependent variable, Econometrica 64: 103-137.
-
Horowitz, J. L. (1998a).
-
Nonparametric estimation of a generalized additive model with an
unknown link function, Technical report, University of Iowa.
-
Horowitz, J. L. (1998b).
-
Semiparametric Methods in Econometrics, Springer.
-
Horowitz, J. L. & Härdle, W. (
1994).
-
Testing a parametric model against a semiparametric alternative, Econometric Theory 10: 821-848.
-
Horowitz, J. L. & Härdle, W. (
1996).
-
Direct semiparametric estimation of single-index models with
discrete covariates, Journal of the American Statistical Association
91(436): 1632-1640.
-
Hsing, T. & Carroll, R. J. (1992).
-
An asymptotic theory for sliced inverse regression, Annals of
Statistics 20(2): 1040-1061.
-
Ichimura, H. (1993).
-
Semiparametric least squares (SLS) and weighted SLS estimation of
single-index models, Journal of Econometrics 58: 71-120.
-
Ingster, Y. I. (1993).
-
Asymptotically minimax hypothesis testing for nonparametric
alternatives. I - III, Math. Methods of Statist. 2: 85 -
114, 171 - 189, 249 - 268.
-
Jones, M. C., Marron, J. S. & Sheather, S. J. (
1996).
-
Progress in data-based bandwidth selection for kernel density
estimation, Computational Statistics 11(3): 337-381.
-
Kallenberg, W. C. M. & Ledwina, T. (
1995).
-
Consistency and Monte-Carlo simulations of a data driven version
of smooth goodness-of-fit tests, Annals of Statistics 23: 1594-1608.
-
Klein, R. & Spady, R. (1993).
-
An efficient semiparametric estimator for binary response models,
Econometrica 61: 387-421.
-
Korostelev, A. & Müller, M. (
1995).
-
Single index models with mixed discrete-continuous explanatory
variables, Discussion Paper 26, Sonderforschungsbereich 373,
Humboldt-Universität zu Berlin.
-
Ledwina, T. (1994).
-
Data-driven version of Neyman's smooth test of fit, Journal of
the American Statistical Association 89: 1000-1005.
-
Lejeune, M. (1985).
-
Estimation non-paramétrique par noyaux: régression
polynomiale mobile, Revue de Statistique Appliqueés 33: 43-67.
-
Leontief, W. (1947a).
-
Introduction to a theory of the internal structure of functional
relationships, Econometrica 15: 361-373.
-
Leontief, W. (1947b).
-
A note on the interrelation of subsets of independent variables of a
continuous function with continuous first derivatives., Bulletin of the
American Mathematical Society 53: 343-350.
-
Lewbel, A. & Linton, O. (2002).
-
Nonparametric censored and truncated regression, Econometrica
70: 765-780.
-
Li, K.-C. (1991).
-
Sliced inverse regression for dimension reduction (with discussion),
Journal of the American Statistical Association 86(414): 316-342.
-
Linton, O. (1997).
-
Efficient estimation of additive nonparametric regression models,
Biometrika 84: 469-473.
-
Linton, O. (2000).
-
Efficient estimation of generalized additive nonparametric
regression models, Econometric Theory 16(4): 502-523.
-
Linton, O. & Härdle, W. (1996)
- .
Estimation of additive regression models with known links, Biometrika 83(3): 529-540.
-
Linton, O. & Nielsen, J. P. (1995)
- .
A kernel method of estimating structured nonparametric regression
based on marginal integration, Biometrika 82: 93-101.
-
Loader, C. (1999).
-
Local Regression and Likelihood, Springer, New York.
-
Mack, Y. P. (1981).
-
Local properties of -nn regression estimates, SIAM J. Alg.
Disc. Math. 2: 311-323.
-
Maddala, G. S. (1983).
-
Limited-dependent and qualitative variables in econometrics,
Econometric Society Monographs No. 4, Cambridge University Press.
-
Mammen, E., Linton, O. & Nielsen, J. P. (
1999).
-
The existence and asymptotic properties of a backfitting projection
algorithm under weak conditions, Annals of Statistics 27: 1443-1490.
-
Mammen, E. & Nielsen, J. P. (2003)
- .
Generalised structured models, Biometrika 90: 551-566.
-
Manski, C. (1985).
-
Semiparametric analysis of discrete response: Asymptotic properties
of the maximum score estimator, Journal of Econometrics 3: 205-228.
-
Marron, J. S. (1989).
-
Comments on a data based bandwidth selector, Computational
Statistics & Data Analysis 8: 155-170.
-
Marron, J. S. & Härdle, W. (1986)
- .
Random approximations to some measures of accuracy in nonparametric
curve estimation, J. Multivariate Anal. 20: 91-113.
-
Marron, J. S. & Nolan, D. (1988).
-
Canonical kernels for density estimation, Statistics &
Probability Letters 7(3): 195-199.
-
Masry, E. & Tjøstheim, D. (1995)
- .
Non-parametric estimation and identification of nonlinear arch time
series: strong convergence properties and asymptotic normality, Econometric Theory 11: 258-289.
-
Masry, E. & Tjøstheim, D. (1997)
- .
Additive nonlinear ARX time series and projection estimates, Econometric Theory 13: 214-252.
-
McCullagh, P. & Nelder, J. A. (
1989).
-
Generalized Linear Models, Vol. 37 of Monographs on
Statistics and Applied Probability, 2 edn, Chapman and Hall, London.
-
Müller, M. (2001).
-
Estimation and testing in generalized partial linear models -- a
comparative study, Statistics and Computing 11: 299-309.
-
Müller, M. (2004).
-
Generalized linear models, in J. Gentle, W. Härdle
& Y. Mori (eds), Handbook of Computational Statistics (Volume
I). Concepts and Fundamentals, Springer, Heidelberg.
-
Nadaraya, E. A. (1964).
-
On estimating regression, Theory of Probability and its
Applications 10: 186-190.
-
Nelder, J. A. & Wedderburn, R. W. M. (
1972).
-
Generalized linear models, Journal of the Royal Statistical
Society, Series A 135(3): 370-384.
-
Newey, W. K. (1990).
-
Semiparametric efficiency bounds, Journal of Applied
Econometrics 5: 99-135.
-
Newey, W. K. (1994).
-
The asymptotic variance of semiparametric estimation, Econometrica 62: 1349-1382.
-
Newey, W. K. (1995).
-
Convergence rates for series estimators, in G. Maddala,
P. Phillips & T. Srinavsan (eds), Statistical Methods of
Economics and Quantitative Economics: Essays in Honor of C.R. Rao,
Blackwell, Cambridge, pp. 254-275.
-
Newey, W. K., Powell, J. L. & Vella, F. (
1999).
-
Nonparametric estimation of triangular simultaneous equation models,
Econometrica 67: 565-603.
-
Nielsen, J. P. & Linton, O. (1998)
- .
An optimization interpretation of integration and backfitting
estimators for separable nonparametric models, Journal of the Royal
Statistical Society, Series B 60: 217-222.
-
Nielsen, J. P. & Sperlich, S. (
2002).
-
Smooth backfitting in practice, Working paper 02-59,
Universidad Carlos III de Madrid.
-
Opsomer, J. & Ruppert, D. (1997).
-
Fitting a bivariate additive model by local polynomial regression,
Annals of Statistics 25: 186-211.
-
Pagan, A. & Schwert, W. (1990).
-
Alternative models for conditional stock volatility, Journal of
Econometrics 45: 267-290.
-
Pagan, A. & Ullah, A. (1999).
-
Nonparametric Econometrics, Cambridge University Press.
-
Park, B. U. & Marron, J. S. (1990)
- .
Comparison of data-driven bandwidth selectors, Journal of the
American Statistical Association 85: 66-72.
-
Park, B. U. & Turlach, B. A. (1992)
- .
Practical performance of several data driven bandwidth selectors,
Computational Statistics 7: 251-270.
-
Powell, J. L., Stock, J. H. & Stoker, T. M. (
1989).
-
Semiparametric estimation of index coefficients, Econometrica
57(6): 1403-1430.
-
Proença, I. & Werwatz, A. (
1995).
-
Comparing parametric and semiparametric binary response models, in W. Härdle, S. Klinke & B. Turlach (eds), XploRe: An
Interactive Statistical Computing Environment, Springer, pp. 251-274.
-
Robinson, P. M. (1988a).
-
Root -consistent semiparametric regression, Econometrica
56: 931-954.
-
Robinson, P. M. (1988b).
-
Semiparametric econometrics: A survey, Journal of Applied
Econometrics 3: 35-51.
-
Rodríguez-Póo, J. M., Sperlich, S. & Fernández, A. I.
(1999).
-
Semiparametric three step estimation methods for simultaneous
equation systems, Working paper 99-83 (32), Universidad Carlos III de
Madrid.
-
Rodríguez-Póo, J. M., Sperlich, S. & Vieu, P.
(2003).
-
Semiparametric estimation of weak and strong separable models, Econometric Theory 19: 1008-1039.
-
Ruppert, D. & Wand, M. P. (1994).
-
Multivariate locally weighted least squares regression, Annals
of Statistics 22(3): 1346-1370.
-
Ruppert, D., Wand, M. P. & Carroll, R. J. (
1990).
-
Semiparametric Regression, Cambridge University Press.
-
Schimek, M. G. (2000a).
-
Estimation and inference in partially linear models with smoothing
splines, Journal of Statistical Planning and Inference 91: 525-540.
-
Schimek, M. G. (ed.) (2000b).
-
Smoothing and Regression, Wiley, New York.
-
Scott, D. W. (1992).
-
Multivariate Density Estimation: Theory, Practice, and
Visualization, John Wiley & Sons, New York, Chichester.
-
Scott, D. W. & Terrell, G. R. (
1987).
-
Biased and unbiased cross-validation in density estimation, Journal of the American Statistical Association 82(400): 1131-1146.
-
Scott, D. W. & Wand, M. P. (1991).
-
Feasibility of multivariate density estimates, Biometrika 78: 197-205.
-
Severance-Lossin, E. & Sperlich, S. (
1999).
-
Estimation of derivatives for additive separable models, Statistics 33: 241-265.
-
Severini, T. A. & Staniswalis, J. G. (
1994).
-
Quasi-likelihood estimation in semiparametric models, Journal of
the American Statistical Association 89: 501-511.
-
Severini, T. A. & Wong, W. H. (
1992).
-
Generalized profile likelihood and conditionally parametric models,
Annals of Statistics 20: 1768-1802.
-
Sheather, S. J. & Jones, M. C. (
1991).
-
A reliable data-based bandwidth selection method for kernel density
estimation, Journal of the Royal Statistical Society, Series B 53: 683-690.
-
Silverman, B. W. (1984).
-
Spline smoothing: the equivalent variable kernel method, Annals
of Statistics 12: 898-916.
-
Silverman, B. W. (1986).
-
Density Estimation for Statistics and Data Analysis, Vol. 26 of
Monographs on Statistics and Applied Probability, Chapman and Hall,
London.
-
Simonoff, J. (1996).
-
Smoothing Methods in Statistics, Springer, New York.
-
Speckman, P. E. (1988).
-
Regression analysis for partially linear models, Journal of the
Royal Statistical Society, Series B 50: 413-436.
-
Sperlich, S. (1998).
-
Additive Modelling and Testing Model Specification, Shaker
Verlag.
-
Sperlich, S., Linton, O. & Härdle, W. (
1999).
-
Integration and backfitting methods in additive models: Finite sample
properties and comparison, Test 8: 419-458.
-
Sperlich, S., Tjøstheim, D. & Yang, L. (
2002).
-
Nonparametric estimation and testing of interaction in additive
models, Econometric Theory 18(2): 197-251.
-
Spokoiny, V. (1996).
-
Adaptive hypothesis testing using wavelets, Annals of
Statistics 24: 2477-2498.
-
Spokoiny, V. (1998).
-
Adaptive and spatially adaptive testing of a nonparametric
hypothesis, Math. Methods of Statist. 7: 245-273.
-
Staniswalis, J. G. & Thall, P. F. (
2001).
-
An explanation of generalized profile likelihoods, Statistics
and Computing 11: 293-298.
-
Stone, C. J. (1977).
-
Consistent nonparametric regression, Applied Statistics 5: 595-635.
-
Stone, C. J. (1984).
-
An asymptotically optimal window selection rule for kernel density
estimates, Annals of Statistics 12(4): 1285-1297.
-
Stone, C. J. (1985).
-
Additive regression and other nonparametric models, Annals of
Statistics 13(2): 689-705.
-
Stone, C. J. (1986).
-
The dimensionality reduction principle for generalized additive
models, Annals of Statistics 14(2): 590-606.
-
Stone, C. J., Hansen, M. H., Kooperberg, C. & Truong, Y.
(1997).
-
Polynomial splines and their tensor products in extended linear
modeling (with discussion), Annals of Statistics 25: 1371-1470.
-
Stute, W. (1997).
-
Nonparametric model checks for regression, Annals of Statistics
25: 613-641.
-
Stute, W., González Manteiga, W. & Presedo-Quindimi, M.
(1998).
-
Bootstrap approximations in model checks for regression, Journal
of the American Statistical Association 93: 141-149.
-
Tjøstheim, D. & Auestad, B. (
1994a).
-
Nonparametric identification of nonlinear time series: Projections,
Journal of the American Statistical Association 89: 1398-1409.
-
Tjøstheim, D. & Auestad, B. (
1994b).
-
Nonparametric identification of nonlinear time series: Selecting
significant lags, Journal of the American Statistical Association 89: 1410-1430.
-
Treiman, D. J. (1975).
-
Problems of concept and measurement in the comparative study of
occupational mobility, Social Science Research 4: 183-230.
-
Vella, F. (1998).
-
Estimating models with sample selection bias: A survey, The
Journal of Human Resources 33: 127-169.
-
Venables, W. N. & Ripley, B. (2002)
- .
Modern Applied Statistics with S, fourth edn, Springer, New
York.
-
Vieu, P. (1994).
-
Choice of regressors in nonparametric estimation, Computational
Statistics & Data Analysis 17: 575-594.
-
Wahba, G. (1990).
-
Spline models for observational data, 2 edn, SIAM,
Philadelphia, Pennsylvania.
-
Wand, M. P. & Jones, M. C. (1995).
-
Kernel Smoothing, Vol. 60 of Monographs on Statistics and
Applied Probability, Chapman and Hall, London.
-
Watson, G. S. (1964).
-
Smooth regression analysis, Sankhy, Series A 26: 359-372.
-
Wecker, W. & Ansley, C. (1983).
-
The signal extraction approach to nonlinear regression and spline
smoothing, Journal of the American Statistical Association 78: 351-365.
-
Weisberg, S. & Welsh, A. H. (1994)
- .
Adapting for the missing link, Annals of Statistics 22: 1674-1700.
-
Wu, C. (1986).
-
Jackknife, bootstrap and other resampling methods in regression
analysis (with discussion), Annals of Statistics 14: 1261-1350.
-
Yang, L., Sperlich, S. & Härdle, W. (
2003).
-
Derivative estimation and testing in generalized additive models,
Journal of Statistical Planning and Inference 115(2): 521-542.
-
Yatchew, A. (2003).
-
Semiparametric Regression for the Applied Econometrician,
Cambridge University Press.
-
Zheng, J. (1996).
-
A consistent test of a functional form via nonparametric estimation
techniques, Journal of Econometrics 75: 263-289.