Nonparametric Functional Estimation and Related Topics: Nato Science Series C:, cartea 335
Editat de G.G Roussasen Limba Engleză Hardback – 30 apr 1991
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 3034.17 lei 6-8 săpt. | |
SPRINGER NETHERLANDS – 23 oct 2012 | 3034.17 lei 6-8 săpt. | |
Hardback (1) | 3040.64 lei 6-8 săpt. | |
SPRINGER NETHERLANDS – 30 apr 1991 | 3040.64 lei 6-8 săpt. |
Din seria Nato Science Series C:
- 24% Preț: 797.66 lei
- 18% Preț: 957.62 lei
- 18% Preț: 957.13 lei
- 18% Preț: 1227.52 lei
- Preț: 396.40 lei
- Preț: 403.75 lei
- 18% Preț: 1239.37 lei
- 18% Preț: 1236.51 lei
- 18% Preț: 1231.78 lei
- 18% Preț: 1229.10 lei
- 18% Preț: 1835.21 lei
- 24% Preț: 1076.36 lei
- Preț: 390.46 lei
- Preț: 369.63 lei
- 18% Preț: 1232.41 lei
- Preț: 394.51 lei
- 18% Preț: 1226.24 lei
- 18% Preț: 1845.80 lei
- Preț: 399.88 lei
- Preț: 384.28 lei
- Preț: 390.88 lei
- Preț: 381.19 lei
- 18% Preț: 1848.64 lei
- 18% Preț: 951.14 lei
- 18% Preț: 1230.35 lei
- 18% Preț: 1236.51 lei
- Preț: 401.03 lei
- Preț: 406.25 lei
- 18% Preț: 1230.84 lei
- Preț: 418.34 lei
- 18% Preț: 1223.74 lei
Preț: 3040.64 lei
Preț vechi: 3708.11 lei
-18% Nou
Puncte Express: 4561
Preț estimativ în valută:
581.88€ • 604.06$ • 485.20£
581.88€ • 604.06$ • 485.20£
Carte tipărită la comandă
Livrare economică 22 martie-05 aprilie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9780792312260
ISBN-10: 0792312260
Pagini: 708
Ilustrații: XIII, 708 p.
Dimensiuni: 155 x 235 x 40 mm
Greutate: 1.19 kg
Ediția:1991
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Nato Science Series C:
Locul publicării:Dordrecht, Netherlands
ISBN-10: 0792312260
Pagini: 708
Ilustrații: XIII, 708 p.
Dimensiuni: 155 x 235 x 40 mm
Greutate: 1.19 kg
Ediția:1991
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Nato Science Series C:
Locul publicării:Dordrecht, Netherlands
Public țintă
ResearchCuprins
I. Curve and Functional Estimation.- Reproducing Kernels and Finite Order Kernels.- Laws of the Iterated Logaritm for Density Estimators.- Exponential Inequalities in Nonparametric Estimation.- Conservative Confidence Bands for Nonparametric Regression.- Data-Adaptive Kernel Estimation.- On the Nonparametric Estimation of the Entropy Functional.- II. Curve and Functional Estimation (Continued).- Analysis of Samples of Curves.- Bootstrap Methods in Nonparametric Regression.- On the Influence Function of Maximum Penalized Likelihood Density Estimators.- Nonparametric Curve Estimation and Simple Curve Characteristics.- Applications of Multiparameter Weak Convergence for Adaptive Nonparametric Curve Estimation.- On Asymptotic Efficiency of Average Derivative Estimates.- Nonparametric Estimation of Elliptically Contoured Densities.- Uniform Deconvolution: Nonparametric Maximum Likelihood and Inverse Estimation.- III. Parameter Selection, Smoothing.- Smoothing Parameter Selection in Image Restoration.- Estimating the Quantile-Density Function.- Data-Driven Smoothing Based on Convexity Properties.- Prospects for Automatic Bandwidth Selection in Extensions to Basic Kernel Density Estimation.- Root n Bandwidth Selection.- Estimating Smooth Distribution Functions.- Smoothing Techniques in Time Series Analysis.- IV. Regression Models.- Nonparametric Inference in Heteroskedastic Regression.- Bounded Influence Regression in the Presence of Heteroskedasticity of Unknown Form.- Linear Regression with Randomly Right-Censored Data Using Prior Nonparametric Estimation.- Universal Consistencies of a Regression Estimate for Unbounded Regression Functions.- Minimax Bayes Estimation, Penalized Likelihood Methods, and Restricted Minimax Estimation.- On Exponential Bounds on the Bayes Risk ofthe Nonparametric Classification Rules.- Nonparametric Regression Analysis of Some Economic Data.- V. Dependent Data.- Nonparametric Regression Methods for Repeated Measurements.- Nonparametric Prediction for Unbounded Almost Stationary Processes.- Monte Carlo and Turbulence.- Kernel Density Estimation Under a Locally Mixing Condition.- Nonparametric Estimation of Survival Functions Under Dependent Competing Risks.- Estimation of Transition Distribution Function and Its Quantiles in Markov Processes: Strong Consistency and Asymptotic Normality.- L1 Strong Consistency for Density Estimates in Dependent Samples.- VI. Time Series Analysis, Signal Detection.- Nonparametric Statistical Signal Detection Problems.- Functional Identification in Nonlinear Time Series.- Modelization, Nonparametric Estimation and Prediction for Continuous Time Processes.- Estimation of Chaotic Dynamic Systems with Control Variables.- Nonparametric Estimation of a Class of Nonlinear Time Series Models.- Semiparametric and Nonparametric Inference from Irregular Observations on Continuous Time Stochastic Processes.- VII. Various Topics.- Complexity Regularization with Application to Artificial Neural Networks.- Designing Prediction Bands.- Analysis of Observational Studies from the Point of View of Nonparametric Regression.- Some Issues in Cross-Validation.- Nonparametric Function Estimation Involving Errors-in-Variables.- VII. Various Topics (Continued).- A Consistent Goodness of Fit Test Based on the Total Variation Distance.- On a Problem in Semiparametric Estimation.- On the Integrable and Approximately Integrable Linear Statistical Models.- Nonparametric Techniques in Image Estimation.- Regularized Deconvolution on the Circle and the Sphere.- List of Attendants.- Contributed Papers.