Feigned
发表于 2025-3-23 13:04:08
SpringerBriefs in Statisticshttp://image.papertrans.cn/b/image/163750.jpg
清醒
发表于 2025-3-23 16:02:05
Asymmetric Kernels: An Introduction,ry of asymmetric kernels, we provide an informal definition and a list of the kernels. Obviously it is difficult and even uneconomical to investigate each of them fully within the limited space of this book. Instead, we concentrate on a few kernels throughout, explain why they are chosen, and illustrate their functional forms and shapes.
根除
发表于 2025-3-23 18:13:10
Specification Testing, Each test has an application-driven flavor, and it is shown to be consistent, i.e., the power of the test approaches one as the sample size diverges. In particular, the test of discontinuity in densities in Sect. . extends an existing method and contains some new results.
Overdose
发表于 2025-3-24 00:52:37
https://doi.org/10.1007/978-981-10-5466-2Asymmetric Kernel; Kernel Smoothing; Boundary Correction; Nonparametric Estimation; Kernel Density Estim
DENT
发表于 2025-3-24 02:20:30
Our Emotions as Seen through a WebcamResearchers and policy-makers are often interested in the distributions of economic and financial variables. Specifying their density functions provides natural descriptions of the distributions.
陪审团每个人
发表于 2025-3-24 09:21:43
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遗传学
发表于 2025-3-24 14:26:33
Assessing Neural Synchrony in Tutoring DyadsAs mentioned in Chap. ., research in asymmetric kernels appears to begin with regression estimation. This chapter investigates nonparametric regression estimation smoothed by asymmetric kernels.
庄严
发表于 2025-3-24 18:55:44
Peter B. Walker,Ian N. DavidsonThe final chapter presents two applications of asymmetric kernel smoothing to real data. One is on density estimation and the other on a testing problem. Each empirical illustration is closely related to the author’s latest work.
扔掉掐死你
发表于 2025-3-24 22:32:02
Univariate Density Estimation,Researchers and policy-makers are often interested in the distributions of economic and financial variables. Specifying their density functions provides natural descriptions of the distributions.
实现
发表于 2025-3-25 03:15:05
Bias Correction in Density Estimation,We are motivated to estimate the quantity of interest in a less biased manner, and density estimation is not an exception. The bias correction methods discussed in this chapter are natural extensions of what are originally proposed for nonnegative (or second-order) symmetric kernels.