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日期精度：到日 12 篇 · 到月 16 篇 · 到年 6 篇
The Statistical Analysis of Spatial Pattern.
An Introduction to Stochastic Processes with Special Reference to Methods and Applications.
Some Remarks on the Analysis of Time-Series
Some remarks on the analysis of time-series
关于时间序列分析的若干讨论
Techniques involving the direct study of the spectrum when analyzing time-series are reviewed, and comments made on such topics as estimating the spectral density function, testing for mixed spectra, eliminating a trend, cross-spectral analysis, and non-normality. Recent extensions of spectral analysis by the author to point and line processes are illustrated by reference to traffic data, including an estimate of the flow-density relation from a cross-spectral analysis.
Logic of Statistical Inference.
'The spectral analysis of two-dimensional point processes.'
二维点过程的谱分析
1. BASIC FORMULAE In a previous paper (Bartlett, 1963 b) I have developed in some detail statistical techniques for estimating and analysing the spectrum of a stationary point stochastic process in one dimension such as time. In a constructive discussion on this paper by various contributors, an interesting extension was suggested by Dr G. M. Jenkins to the bivariate case (either a bivariate point process, or a mixed bivariate, with one point process component and one…
The Spectral Analysis of Two-Dimensional Point Processes
The spectral analysis of two-dimensional point processes
The Spectral Analysis of Point Processes
点过程的谱分析
SUMMARY The spectral analysis of stationary point processes in one dimension is developed in some detail as a statistical method of analysis. The asymptotic sampling theory previously established by the author for a class of doubly stochastic Poisson processes is shown to apply also for a class of clustering processes, the spectra of which are contrasted with those of renewal processes. The analysis is given for two illustrative examples, one an artificial Poisson process,…
Statistical Methods and Scientific Inference.
An Introduction to Stochastic Processes with Special Reference to Methods and Applications.
An Introduction to Stochastic Processes with Special Reference to Methods and Applications.
Approximate Confidence Intervals: III. A Bias Correction
On the Efficiency of Procedures for Smoothing Periodograms from Time Series with Continuous Spectra
APPROXIMATE CONFIDENCE INTERVALS
ON THE EFFICIENCY OF PROCEDURES FOR SMOOTHING PERIODOGRAMS FROM TIME SERIES WITH CONTINUOUS SPECTRA
A Note on the Multiplying Factors for Various χ2 Approximations
各种卡方近似的乘数因子札记
Summary A list is given, for reference, of various approximate tests, based on the asymptotic approximations for likelihood ratios, but with adjusted multiplying factors.
Approximate Confidence Intervals.II. More than one Unknown Parameter
Approximate Confidence Intervals
Goodness of Fit Tests for Simultaneous Autoregressive Series
多变量自回归序列的拟合优度检验
Summary The simplified method of derivation of Quenouille’s (1947) goodness of fit test for an autoregressive stationary series with discrete time, given by Bartlett and Diananda (1950), is extended in the present paper to the case of simultaneous autoregressive series, for which some interesting new features arise. The general solution is applied to a particular first-order process in two variables, the detailed correlational theory of which is being given elsewhere by…