標(biāo)題: Titlebook: Statistical Inference for Discrete Time Stochastic Processes; M. B. Rajarshi Book 2013 The Author(s) 2013 Bootstrap.Estimating Functions.N [打印本頁] 作者: STH 時(shí)間: 2025-3-21 17:40
書目名稱Statistical Inference for Discrete Time Stochastic Processes影響因子(影響力)
書目名稱Statistical Inference for Discrete Time Stochastic Processes影響因子(影響力)學(xué)科排名
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書目名稱Statistical Inference for Discrete Time Stochastic Processes網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Statistical Inference for Discrete Time Stochastic Processes被引頻次
書目名稱Statistical Inference for Discrete Time Stochastic Processes被引頻次學(xué)科排名
書目名稱Statistical Inference for Discrete Time Stochastic Processes年度引用
書目名稱Statistical Inference for Discrete Time Stochastic Processes年度引用學(xué)科排名
書目名稱Statistical Inference for Discrete Time Stochastic Processes讀者反饋
書目名稱Statistical Inference for Discrete Time Stochastic Processes讀者反饋學(xué)科排名
作者: 宇宙你 時(shí)間: 2025-3-21 21:44
sustainable development." and contains the description of a range of terms, which allows a better understanding and fosters knowledge. The approval of the SDGs by the 194 countries of the UN General Assembly i978-3-319-95963-4Series ISSN 2523-7403 Series E-ISSN 2523-7411 作者: 干涉 時(shí)間: 2025-3-22 01:13
2191-544X ssed in some detail. Kernel based estimation of joint density and conditional expectation are also discussed. Bootstrap and other resampling procedures for dependent sequences such as Markov chains, Markov sequ978-81-322-0762-7978-81-322-0763-4Series ISSN 2191-544X Series E-ISSN 2191-5458 作者: BAIT 時(shí)間: 2025-3-22 08:37 作者: 不足的東西 時(shí)間: 2025-3-22 11:22 作者: 刀鋒 時(shí)間: 2025-3-22 13:44 作者: 來自于 時(shí)間: 2025-3-22 17:08 作者: 疾馳 時(shí)間: 2025-3-23 00:09
M. B. Rajarshi, namely ".Strengthen the means of implementation andrevitalize the global partnership for sustainable development." and contains the description of a range of terms, which allows a better understanding and fosters knowledge. The approval of the SDGs by the 194 countries of the UN General Assembly i作者: 使高興 時(shí)間: 2025-3-23 03:15 作者: MEAN 時(shí)間: 2025-3-23 07:35
Statistical Inference for Discrete Time Stochastic Processes作者: CHASE 時(shí)間: 2025-3-23 11:24
Non-Gaussian ARMA Models,ch as exponential, Weibull, gamma, inverse Gaussian, and Cauchy. In some cases, maximum likelihood estimation is tractable. In other cases, regularity conditions are not met. Estimation is then carried out based on properties of the marginal distribution of the process and mixing properties such as 作者: 過份艷麗 時(shí)間: 2025-3-23 17:17
Book 2013hastic models. Construction of confidence intervals based on estimating functions is discussed in some detail. Kernel based estimation of joint density and conditional expectation are also discussed. Bootstrap and other resampling procedures for dependent sequences such as Markov chains, Markov sequ作者: gregarious 時(shí)間: 2025-3-23 18:08 作者: Exonerate 時(shí)間: 2025-3-23 23:02 作者: 創(chuàng)新 時(shí)間: 2025-3-24 05:35
Statistical Inference for Discrete Time Stochastic Processes978-81-322-0763-4Series ISSN 2191-544X Series E-ISSN 2191-5458 作者: Haphazard 時(shí)間: 2025-3-24 08:33 作者: Emmenagogue 時(shí)間: 2025-3-24 14:24
SpringerBriefs in Statisticshttp://image.papertrans.cn/s/image/876438.jpg作者: 先兆 時(shí)間: 2025-3-24 15:57
https://doi.org/10.1007/978-81-322-0763-4Bootstrap; Estimating Functions; Non-Gaussian Sequences; Stationary Random Sequences; Statistical Infere作者: 用手捏 時(shí)間: 2025-3-24 19:42 作者: 運(yùn)氣 時(shí)間: 2025-3-25 02:46 作者: fibroblast 時(shí)間: 2025-3-25 05:57 作者: 變形詞 時(shí)間: 2025-3-25 08:52 作者: 付出 時(shí)間: 2025-3-25 12:41
CAN Estimators from Dependent Observations,or mixing sequences, as well as central limit theorems for sums of dependent random variables have been discussed. We then discuss weak convergence of empirical processes obtained from stationary observations. These results have been applied to generate consistent and asymptotically normal estimator作者: 表兩個(gè) 時(shí)間: 2025-3-25 18:27
Markov Chains and Their Extensions,odels, such as Hidden Markov chain, Markov chains based on polytomous regression, and Raftery’s Mixture Transition Density model. These models have less number of parameters as compared to a higher order finite Markov chain. Lastly, we discuss methods of estimation in grouped data from finite Markov作者: Saline 時(shí)間: 2025-3-25 21:33
Non-Gaussian ARMA Models,ribution of these models is non-Gaussian. Such models can be broadly described as extensions of Gaussian ARMA models, which have been very widely discussed in the time series literature. These non-Gaussian AR models share two important properties with a linear AR(1) model: (i) the conditional expect作者: Diastole 時(shí)間: 2025-3-26 00:17
Estimating Functions,e given the past observations have been specified. These constitute semi-parametric methods for stochastic models. We begin with Conditional Least Squares estimation. Then, we discuss estimating functions in some details. The basic set of estimating functions can be conditionally uncorrelated or cor作者: JECT 時(shí)間: 2025-3-26 07:38 作者: 不如樂死去 時(shí)間: 2025-3-26 12:24 作者: 一致性 時(shí)間: 2025-3-26 16:41 作者: Frenetic 時(shí)間: 2025-3-26 17:12
M. B. Rajarshins, especially but not only in developing countries, intensify. Therefore, there is an increasing need to search for integrated solutions to make development more sustainable.?The United Nations has acknowledged the problem?and approved the “2030 Agenda for Sustainable Development”. On 1st January 2作者: acrobat 時(shí)間: 2025-3-26 23:42 作者: 令人苦惱 時(shí)間: 2025-3-27 03:41 作者: 證實(shí) 時(shí)間: 2025-3-27 07:18
M. B. Rajarshins, especially but not only in developing countries, intensify. Therefore, there is an increasing need to search for integrated solutions to make development more sustainable.?The United Nations has acknowledged the problem?and approved the “2030 Agenda for Sustainable Development”. On 1st January 2作者: 小平面 時(shí)間: 2025-3-27 11:10 作者: 和平主義者 時(shí)間: 2025-3-27 17:03
M. B. Rajarshi projects, and practical action.Provides a sound basis to pr.The problems related to the process of industrialisation such as biodiversity depletion, climate change and a worsening of health and living conditions, especially but not only in developing countries, intensify. Therefore, there is an inc作者: 熟練 時(shí)間: 2025-3-27 18:49
projects, and practical action.Provides a sound basis to pr.The problems related to the process of industrialisation such as biodiversity depletion, climate change and a worsening of health and living conditions, especially but not only in developing countries, intensify. Therefore, there is an inc作者: FADE 時(shí)間: 2025-3-27 22:19
Book 2016he authors highlight how Activity Theory is used in education and discuss the theoretical as well as pragmatic use of Activity Theory frameworks in a range of contemporary learning contexts. The first section of the book focuses on empirical research on using Activity Theory in analysing students’ a作者: Harness 時(shí)間: 2025-3-28 02:45
