stationary統計的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列各種有用的問答集和懶人包

Spatial Econometric Methods in Agricultural Economics Using R

為了解決stationary統計的問題，作者Postiglione, Paolo,Benedetti, Roberto,Piersimoni, Federica 這樣論述：

Paolo Postiglione is Professor in Economic Statistics at University of Chieti-Pescara (Italy). He has been a visiting researcher at Regional Economics Applications Laboratory of University of Illinois at Urbana-Champaign, at Regional Research Institute of West Virginia University, and received a Ph.

D. in Statistics from the University of Chieti - Pescara in 1998.Currently, he is the Principal Investigator for University ＂G. d’Annunzio＂ of Chieti- Pescara for the Horizon 2020 Project ＂Integrative Mechanisms for Addressing Spatial Justice and Territorial Inequalities in Europe＂ (IMAJINE), H2020-

SC6-REV-INEQUAL-2016. His research interests mainly concern regional quantitative analysis, spatial statistics and econometrics, regional economic convergence, models for spatial non-stationary data, agricultural statistics, and spatial sampling. He is author of a book edited by Springer, several ar

ticles on peer review journals and other publications on these topics.Roberto Benedetti is Professor in Economic Statistics at University of Chieti-Pescara (Italy). He obtained a PhD in Methodological Statistics in 1994 from ＂La Sapienza＂ University of Rome (Italy). From 1994 to 2001, he was employe

d at ISTAT (the Italian national statistical office) as Research Director as the head of the Agricultural Statistical Service.He was visiting researcher at the National Centre for Geographic Information Analysis of the University of California at Santa Barbara, at Regional Economics Applications Lab

oratory of University of Illinois at Urbana-Champaign, at Centre for Statistical and Survey Methodology of University of Wollongong.His current research interests focus on agricultural statistics, sample design, small area estimation, and spatial data analysis. On these topics he published a book ed

ited by Springer and many articles on referred journals.Federica Piersimoni is Senior Researcher at Processes Design and Frames Service in the Methodological Department of the Italian National Statistical Institute, since 1996. She spent more than ten years at the Agricultural Statistical Service wi

thin the Economic Department in the same institution. She was visiting researcher at Regional Economics Applications Laboratory of University of Illinois at Urbana-Champaign, and at Centre for Statistical and Survey Methodology of University of Wollongong. In 1999 she received a Specialization Degre

e in Operational Research and Decision Theory from the University of Rome ＂La Sapienza＂ and received a Ph.D. in Statistics from the University of Chieti-Pescara in 2014. Her main research interests concern disclosure control, and sample design, on which topics she published a book edited by Springer

and journal papers.

Testing Statistical Hypotheses: Volume I

為了解決stationary統計的問題，作者Lehmann, Erich L.,Romano, Joseph P. 這樣論述：

E.L. Lehmann (1917 - 2009) was an American statistician and professor of statistics at the University of California, Berkeley. He made significant contributions to nonparametric hypothesis testing, and he is one of the eponyms of the Lehmann-Scheffé theorem and of the Hodges-Lehmann estimator. Dr. L

ehmann was a member of the National Academy of Sciences and the American Academy of Arts and Sciences, and the recipient of honorary degrees from the University of Leiden, The Netherlands and the University of Chicago. He was the author of Elements of Large-Sample Theory (Springer 1999) and Theory o

f Point Estimation, Second Edition (Springer 1998, with George Casella).Joseph P. Romano has been on faculty in the Statistics Department at Stanford since 1986. Since 2007, he has held a joint professorship appointment in both Statistics and Economics. He is a coauthor of three books, as well as ov

er 100 journal articles. Dr. Romano is a recipient of the Presidential Young Investigator Award and many other grants from the National Science Foundation, and he is a Fellow of the Institute of Mathematical Statistics. His research has focused on such topics as: bootstrap and resampling methods, su

bsampling, randomization methods, inference, optimality, large-sample theory, nonparametrics, multiple hypothesis testing, and econometrics. He has invented or co-invented a variety of new statistical methods, including subsampling and the stationary bootstrap, as well as methods for multiple hypoth

esis testing. These methods have been applied to such diverse fields as clinical trials, climate change, finance, and economics.

重試等候系統的通用解法

為了解決stationary統計的問題，作者葉新富 這樣論述：

我們為不耐煩顧客之重試等候系統的平穩機率提供一個新的上界。如果模型滿足某些條件，則會給出更好的上界。以此上界，我們可以用有限矩陣計算平穩機率，並用數值實驗驗證論文中提出的定理。此外，我們提出了該定理的進一步推廣形式，任何滿足條件的模型都可以應用這個定理。