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Titlebook: Methods of Moments and Semiparametric Econometrics for Limited Dependent Variable Models; Myoung-jae Lee Book 19961st edition Springer Sci

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21#
發(fā)表于 2025-3-25 07:23:52 | 只看該作者
Myoung-jae Leeout intrinsic value, one that provides an indispensable backdrop against which future writings on the topic may be assessed..978-90-481-6980-1978-1-4020-3846-4Series ISSN 1387-6678 Series E-ISSN 2215-0323
22#
發(fā)表于 2025-3-25 09:52:40 | 只看該作者
23#
發(fā)表于 2025-3-25 11:58:04 | 只看該作者
24#
發(fā)表于 2025-3-25 17:59:28 | 只看該作者
out intrinsic value, one that provides an indispensable backdrop against which future writings on the topic may be assessed..978-90-481-6980-1978-1-4020-3846-4Series ISSN 1387-6678 Series E-ISSN 2215-0323
25#
發(fā)表于 2025-3-25 21:43:57 | 只看該作者
Methods of Moments and Semiparametric Econometrics for Limited Dependent Variable Models
26#
發(fā)表于 2025-3-26 02:21:10 | 只看該作者
27#
發(fā)表于 2025-3-26 08:00:26 | 只看該作者
Nonparametric Density Estimationensity estimation methods available. The most popular is “kernel density estimation method” which we explore mainly. Other methods will be examined briefly in the last section. See Prakasa Rao (1983), Silverman (1986), Izenman (1991), Rosenblatt (1991) and Scott (1992) for more on nonparametric density estimation in general.
28#
發(fā)表于 2025-3-26 11:30:27 | 只看該作者
Semi-Nonparametricsour discussion to.-consistent estimators. Although we defined the term “semiparametrics” in a narrow sense that obtaining the estimates does not require nonparametric techniques, in this chapter we will often use the term “semiparametrics” in its wide sense as the union of semiparametrics and semi-nonparametrics.
29#
發(fā)表于 2025-3-26 12:55:56 | 只看該作者
30#
發(fā)表于 2025-3-26 20:30:25 | 只看該作者
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