Abstract
Of paramount concern in probability theory is the behavior of sums {S n , n ≥ 1} of independent random variables {X i, i ≥ 1}. The case where the {X i} are i.i.d. is of especial interest and frequently lends itself to more incisive results. The sequence of sums {S n, n ≥ 1} of i.i.d. r.v.s {X n} is alluded to as a random walk; in the particular case when the component r.v.s {X n} are nonnegative, the random walk is referred to as a renewal process.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
J. H. Abbott and Y. S. Chow, “Some necessary conditions for a.s. convergence of sums of independent r.v.s.,” Bull. Institute Math. Academia Sinica 1 (1973), 1–7.
L. E. Baum and M. Katz, “Convergence rates in the law of large numbers,” Trans. Amer. Math. Soc. 120 (1965), 108–123.
B. Brown, “Moments of a stopping rule related to the central limit theorem,” Ann. Math. Stat. 40 (1969), 1236–1249.
D. L. Burkholder, “Independent sequences with the Stein property,” Ann. Math. Stat. 39(1968), 1282–1288.
Y. S. Chow, “Local convergence of martingales and the law of large numbers,” Ann. Math. Stat. 36 (1965), 552–558.
Y. S. Chow, “Delayed sums and Borel summability of independent, identically distributed random variables,” Bull. Inst. Math., ACADEMIA SINICA 1 (1973), 207–220.
Y. S. Chow and H. Robbins, “On the asymptotic theory of fixed-width sequential confidence intervals for the mean.” Ann. Math. Stat. 36 (1965), 457–462.
Y. S. Chow and H. Teicher, “Almost certain summability of i.i.d. random variables,” Ann. Math. Stat. 42 (1971), 401–404.
Y. S. Chow, H. Robbins, and D. Siegmund, Great Expectations: The Theory of Optimal Stopping, Houghton Mifflin, Boston, 1972.
Y. S. Chow, H. Robbins, and H. Teicher, “Moments of randomly stopped sums,” Ann. Math. Stat. 36 (1965), 789–799.
K. L. Chung, “Note on some strong laws of large numbers,” Amer. Jour. Math. 69 (1947). 189–192.
K. L. Chung, A Course in Probability Theory. Harcourt Brace, New York, 1968; 2nd ed., Academic Press, New York, 1974.
K. L. Chung and W. H. J. Fuchs, “On the distribution of values of sums of random variables,” Mem. Amer. Math. Soe. 6 (1951).
K. L. Chung and D. Ornstein, “On the recurrence of sums of random variables,” Bull. Amer. Math. Soe. 68 (1962), 30–32.
C. Derman and H. Robbins, “The SLLN when the first moment does not exist,” Proe. Nat. Acad. Sei. U.S.A. 41 (1955), 586–587.
J. L. Doob, Stochastic Processes, Wiley, New York, 1953.
K. B. Erickson, “The SLLN when the mean is undefined,” Trans. Amer. Math. Soc. 185 (1973), 371–381.
W. Feller, “Über das Gesetz der grossen Zahlen,” Acta Univ. Szeged., Sect. Sei. Math. 8 (1937), 191–201.
W. Feller, “A limit theorem for random variables with infinite moments,” Amer. Jour. Math. 68 (1946), 257–262.
W. Feller, An Introduction to Probability Theory and its applications, Vol. 2, Wiley, New York, 1966.
R. Gundy and D. Siegmund, “On a stopping rule and the central limit theorem,” Ann. Math. Stat. 38 (1967), 1915–1917.
C. C. Heyde, “Some renewal theorems with applications to a first passage problem,” Ann. Math. Stat. 37 (1966), 699–710.
T. Kawata, Fourier Analysis in Probability Theory, Academic Press, New York, 1972.
H. Kesten, “The limit points of a random walk,” Ann. Math. Stat. 41 (1970), 1173–1205.
A. Khintchine and A. Kolmogorov, “Über Konvergenz von Reichen, derem Glieder durch den Zufall bestimmt werden,” Ree. Math. (Mat. Sbornik) 32 (1924), 668–677.
A. Kolmogorov, “Über die Summen durch den Zufall bestimmer unabhängiger Grössen,” Math. Ann. 99 (1928), 309–319; 102 (1930), 484–488.
M. J. Klass, “Properties of optimal extended-valued stopping rules,” Ann. Prob. 1 (1973), 719–757.
M. Klass and H. Teicher, “Iterated logarithm laws for random variables barely with or without finite mean,” Ann. Prob. 5 (1977), 861–874.
K. Knopp, Theory and Application of Infinite Series, Stechert-Hafner, New York, 1928.
P. Lévy, Theorie de l’addition des variables aléatoires, Gauthier-Villars, Paris, 1937; 2nd ed., 1954.
M. Loève, “On almost sure convergence,” Proc. Second Berkeley Symp. Math. Stat. Prob., pp. 279–303, Univ. of California Press, 1951.
M. Loève, Probability Theory, 3rd ed., Van Nostrand, Princeton, 1963; 4th ed., SpringerVerlag, Berlin and New York, 1977–1978.
J. Marcinkiewicz and A. Zygmund, “Sur les fonctions indépendantes,” Fund. Math. 29(1937), 60–90.
P. Revesz, The Laws of Large Numbers, Academic Press, New York, 1968.
H. Robbins and E. Samuel, “An extension of a lemma of Wald,” J. Appl. Prob. 3 (1966), 272–273.
F. Spitzer, “A combinatorial lemma and its applications to probability theory,” Trans. Amer. Math. Soc. 82 (1956), 323–339.
H. Teicher, “Almost certain convergence in double arrays,” Z. Wahr. verw. Gebiete 69 (1985), 331–345.
A. Wald, “On cumulative sums of random variables,” Ann. Math. Stat. 15 (1944), 283–296.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1988 Springer-Verlag New York Inc.
About this chapter
Cite this chapter
Chow, Y.S., Teicher, H. (1988). Sums of Independent Random Variables. In: Probability Theory. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4684-0504-0_5
Download citation
DOI: https://doi.org/10.1007/978-1-4684-0504-0_5
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4684-0506-4
Online ISBN: 978-1-4684-0504-0
eBook Packages: Springer Book Archive