消息首页搜索举报

分层分位模拟——理论、方法及应用自然科学田茂再编

none

274.45 6.9折 398 全新

库存2件

北京丰台

认证卖家担保交易快速发货售后保障

作者田茂再编

出版社科学出版社

ISBN9787030699039

出版时间2022-01

版次1

装帧平装

开本16

定价398元

货号xhwx_1202575984

上书时间2024-10-31

智胜图书专营店

七年老店

已实名已认证进店收藏店铺

在售商品暂无
平均发货时间 27小时
好评率暂无

最新上架

路米斯经典美术课:纪念套装版(全5册) 美术理论 (美)安德鲁·路米斯 ¥159.65

河北法治发展报告(2022) 推进全面依法治省法学理论康振海编 ¥79.75

云南省农用地土壤污染状况详查全过程质量技术管理农业科学云南省生态环境监测中心编 ¥32.45

呈贡地理研学资源与活动冶金、地质李琳,吴晓月编 ¥26.25

汉代散文与经学之关系研究古典文学理论边家珍 ¥50.55

北京旅游发展报告(2021~2022) 旅游张辉编 ¥79.75

英语短篇小说欣赏与创作大中专文科专业英语寿似琛编 ¥37.25

孩子也能懂的史记文臣辈出古典启蒙彭丽华,姚晶编陈安民绘 ¥13.35

职业形象与礼仪大中专文科社科综合谢鑫,张冰霄编 ¥17.05

商品详情

品相描述：全新: 正版特价新书

商品描述: 目录：

preface

part i  quantile regression modelling

chapter 1  inear quantile regression

1.1  education: mathematical achievements

1.1.1  introduction

1.1.2  data

1.1.3  estimation results

1.1.4  confidence intervals and related interpretations

1.1.5  conclusion

1.2  large sample properties

1.3  bibliographic notes

chapter 2  nonparametric quantile regression

2.1  robust local appromation method

2.1.1  introduction

2.1.2  consistency

2.1.3  rate of convergence

2.1.4  asymptotic distribution

2.1.5  optimization of estimate

2.1.6  bibliographic notes

2.2  nonparametric function estimation

2.2.1  introduction

2.2.2  asymptotic properties

2.2.3  applications

2.2.4  bibliographic notes

2.3  local linear quantile regression

2.3.1  introduction

2.3.2  local linear check function minimization

2.3.3  local linear double-kernel smoothing

2.3.4  bibliographic notes

chapter 3  adaptive quantile regression

3.1  locally constant adaptive quantile regression

3.1.1  introduction

3.1.2  adaptive estimation

3.1.3  implementation

3.1.4  theoretical properties

3.1.5  bibliographic notes

3.2  locally linear adaptive quantile regression

3.2.1  introduction

3.2.2  local linear adaptive estimation

3.2.3  algorithm

3.2.4  theoretical properties

3.2.5  bibliographic notes

chapter 4  adaptive quantiles regression

4.1  additive conditional quantiles with high-dimensional covariates

4.1.1  introduction

4.1.2  methodology

4.1.3  asymptotic behavior

4.1.4  conclu remarks

4.1.5  bibliographic notes

4.2  nonparametric estimation

4.2.1  introduction

4.2.2  estimator

4.2.3  asymptotic results

4.2.4  conclusions

4.2.5  bibliographic notes

chapter 5  quantile regression based on varyingcoefficient models

5.1  adaptive quantile regression based on varying-coefficient models

5.1.1  introduction

5.1.2  adaptive estimation

5.1.3  theoretical properties

5.1.4  conclusion

5.1.5  bibliographic notes

5.2  varying-coefficient models with heteroscedasticity

5.2.1  introduction

5.2.2  local linear cqr-aqr estimation

5.2.3  local quadratic cqr-aqr estimation

5.2.4  bandwidth selection

5.2.5  hypothesis testing

5.2.6  local m-polynomial cqr-aqr estimation

5.2.7  discussion

5.2.8  bibliographic notes

chapter 6  single-index quantile regression

6.1  single index models

6.1.1  introduction

6.1.2  the model and estimation

6.1.3  large sample properties

6.1.4  conclusions

6.1.5  bibliographic notes

6.2  cqr for varying coefficient single-index models

6.2.1  introduction

6.2.2  quantile regression

6.2.3  ite quantile regression

6.2.4  discussion

6.2.5  bibliographic notes

chapter 7  quantile autoregression

7.1  introduction

7.2  the model

7.2.1  description of the model

7.2.2  properties

7.3  estimation

7.4  quantitle monotonicity

7.5  inference

7.5.1  wald process and related tests

7.5.2  testing for asymmetric dynamics

7.5.3  bibliographic notes

chapter 8  ite quantile regression

8.1  ite quantile and model selection

8.1.1  introduction and motivation

8.1.2  ite quantile regression

8.1.3  asymptotic relative efficiency

8.1.4  the cqr-oracular estimator

8.1.5  conclu remarks

8.1.6  bibliographic notes

8.2  local quantile regression

8.2.1  introduction

8.2.2  estimation of regression function

8.2.3  estimation of derivative

8.2.4  local p-polynomial cqr smoothing

8.2.5  discussion

……

内容简介：

随着科学技术的迅猛发展，具有复杂分层结构的数据在现实生活中很普遍。能剖析这类数据，发觉该类数据表象下的潜在规律对于统计学等科研领域很有意义。分层分位模拟——理论、方法及以应用（英文版）致力于介绍复杂分层数据分析前沿知识，侧重于分层分位回归理论、方法及其应用研究。内容主要包括三大块：分层数据建模、分位回归与分层分位回归。主要涉及到线分层分位回归模拟、非参数分层分位回归模拟、适应分层分位回归模拟、可加分层分位回归模拟、变系数分层分位回归模拟、单指数分层分位回归模拟、分层分位自回归模拟、复合分层分位回归模拟、高维分层分位回归模拟、分层分位回归模拟、分层样条分位回归模拟、分层线分位回归模拟、分层半参数分位回归模拟、复合分层线分位回归模拟、复合分层半参数分位回归模拟等。