Random splittings of an interval

1993 ◽  
Vol 30 (01) ◽  
pp. 131-152
Author(s):  
T. S. Mountford ◽  
S. C. Port

Points are independently and uniformly distributed onto the unit interval. The first n—1 points subdivide the interval into n subintervals. For 1 we find a necessary and sufficient condition on {ln } for the events [Xn belongs to the ln th largest subinterval] to occur infinitely often or finitely often with probability 1. We also determine when the weak and strong laws of large numbers hold for the length of the ln th largest subinterval. The strong law of large numbers and the central limit theorem are shown to be valid for the number of times by time n the events [Xr belongs to l r th largest subinterval] occur when these events occur infinitely often.

1993 ◽  
Vol 30 (1) ◽  
pp. 131-152
Author(s):  
T. S. Mountford ◽  
S. C. Port

Points are independently and uniformly distributed onto the unit interval. The first n—1 points subdivide the interval into n subintervals. For 1 we find a necessary and sufficient condition on {ln} for the events [Xn belongs to the ln th largest subinterval] to occur infinitely often or finitely often with probability 1. We also determine when the weak and strong laws of large numbers hold for the length of the ln th largest subinterval. The strong law of large numbers and the central limit theorem are shown to be valid for the number of times by time n the events [Xr belongs to lr th largest subinterval] occur when these events occur infinitely often.


1973 ◽  
Vol 10 (3) ◽  
pp. 510-519 ◽  
Author(s):  
E. J. Hannan

Very general forms of the strong law of large numbers and the central limit theorem are proved for estimates of the unknown parameters in a sinusoidal oscillation observed subject to error. In particular when the unknown frequency θ0, is in fact 0 or <it is shown that the estimate, , satisfies for N ≧ N0 (ω) where N0 (ω) is an integer, determined by the realisation, ω, of the process, that is almost surely finite.


1973 ◽  
Vol 10 (03) ◽  
pp. 510-519 ◽  
Author(s):  
E. J. Hannan

Very general forms of the strong law of large numbers and the central limit theorem are proved for estimates of the unknown parameters in a sinusoidal oscillation observed subject to error. In particular when the unknown frequency θ 0, is in fact 0 or &lt;it is shown that the estimate, , satisfies for N ≧ N 0 (ω) where N 0 (ω) is an integer, determined by the realisation, ω, of the process, that is almost surely finite.


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