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Wilkie (1983) Rayleigh test for randomness of circular data

Even when the values are presented at fixed probability levels (Mardia, 1972) it can be useful for computer programming and other purposes to have a simple expression that ...
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A PRELIMINARY INVESTIGATION-OF SOLIFLUCTION MACROFABRICS

Some characteristics of each site are listed in Table 1. 3.2. STATISTICAL ANALYSIS Orientation measurements were analyzed by the eigenvalue method (MARDIA 1972,
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OnS.N. Roy'sLegacyto Multivariate Analysis*

One of the most common distributions on Xis the matrix Fisher distribution (Downs 1972; Khatriand Mardia 1977), defined as a(F)exp(tr F X T)[dX], XǫO (n, p) , where ...
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Mathematical Geology, Vol. 30, No. 3, 1998

Available two-dimensional tests (Mardia, 1972) such as Kuiper's Kolmogrov type Fn1,n2 test (Kuiper, 1960), or Watson's two sample U 2 test (Watson, 1962), are not suitable ...
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A CIRCULAR–CIRCULAR REGRESSION MODEL

Mardia, K. V. (1972). Statistics of Directional Data. Academic Press, New York. Mardia, K. V. and Jupp, P. E. (2000). Directional Statistics. Wiley, Chichester.
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MATLAB functions to analyze directional (azimuthal) data—I ...

statistical methods include Mardia (1972), Fisher (1993), and Mardia and Jupp (2000). Applying some of these new techniques is difficult, requiring special code.
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Directional wave parameter interpretation and related statistical ...

Mardia, K.V. (1972), Statistics of Directional Data , Academic Press, London, U.K. Nwogu, O.U., Mansard, E.P.D., Miles, M.D. and Isaacson, M. (1987), 'Estimation of ...
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Identification of Influential Observations in Circular Regression ...

Mardia(1972) defined the angular deviation of observations from their fitted values for circular regression model. In this study we use the statistic given by
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; x Þrepresentstheusualgeographiccomponentsof

Mardia, K.V., 1972. Statistics of Directional Data. New York: Aca-demicPress. Pearson, K., 1901. On lines and planes of closest fit to systems of point in space.
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Seasonality of floods and their hydrometeorologic characteristics ...

Seasonality Seasonality of hydrological time series can be effectively described in terms of directional statistics (Mardia, 1972; Fisher, 1993; Magilliganand Graner ...
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Constrained optimal discriminating designs for Fourier regression ...

K. Mardia (1972). The statistics of directional data. Academic Press, New York. F. Pukelsheim (1993). Optimal Design of Experiments. Wiley, New York.
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1. Introduction.

They enter the construction of offset distributions (Mardia, 1972). They were used by Jupp and Spur (1989) to estimate the source of a signal. Boulerice and
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The Power of Parametric Orientation Statistics in the Earth Sciences

For circular data, one has the advantage that a limit theorem does actually exist (MARDIA, 1972). The latter states that, if X;, i = 1 ... n are independent and identically ...
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4. DATA REPORT: STRESS ORIENTATION IN GAS HYDRATE-BEARING ...

These analyses were computed with GMImager software using Mardia statistics for the directional data (Mardia, 1972). GMImager results are shown in Figure F5.
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Chapter 10: Directional Data Analysis

The method devised by Batschelet (1972) and by Mardia (1972) is illustrated in Fig. 10.1 below. The idea is to treat individual directions as the angle made by a unit ...
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An Approach to Multivariate Phase Synchronization Analysis and its ...

graphs by Mardia [Mardia & Jupp, 2000; Mardia, 1972]. 2 Synchronization Cluster Analysis In statistical phase synchronization analysis, the relevant information is given by
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DENSITY ESTIMATION FOR STATISTICS AND DATA ANALYSIS B.W. Silverman ...

further statistical modelling of these data is possible (see Mardia 1972) the density estimate really gives all the useful conclusionstobedrawnfromthedataset.
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MATLAB functions to analyze directional (azimuthal) data—II ...

Excellent references on cyclical variables include Mardia (1972) , Fisher (1993) , and Mardiaand Jupp (2000) . General software for analyzing azimuthal data is not widely ...
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Global Spatial Analysis †

Mardia, K (1972). Statistics of Directional Data. Academic Press, New York. Miller, H., (2000) "Geographic representation in spatial analysis", Journal of Geographical ...
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DENSITY ESTIMATION FOR STATISTICS AND DATA ANALYSIS

Although further statistical modelling of these data is possible (see Mardia 1972) the density estimate really gives all the useful conclusions to be d rawnfromthedataset.
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