Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Advances in Directional and Linear Statistics: A Festschrift for Sreenivasa Rao Jammalamadaka

Advances in Directional and Linear Statistics: A Festschrift for Sreenivasa Rao Jammalamadaka

Wells, Martin T.
SenGupta, Ashis

Hardcover

Probability & Statistics

ISBN10: 3790826278
ISBN13: 9783790826272
Publisher: Springer Nature
Published: Nov 11 2010
Pages: 321
Weight: 1.42
Height: 0.75 Width: 6.14 Depth: 9.21
Language: English
Models for Axial Data.- Asymptotic Behavior of the Universally Consistent Conditional U-Statistics for Nonstationary and Absolutely Regular Processes.- Regression Models with STARMA Errors - An Application to the Study of Temperature Variations in the Antarctic Peninsula.- The Generalized von Mises-Fisher Distribution.- A New Nonparametric Test of Symmetry.- A Semiparametric Bayesian Method of Clustering Genes Using Time-Series of Expression Profiles.- On Implementation of the Markov Chain Monte Carlo Stochastic Approximation Algorithm.- Stochastic Comparisons of Spacings from Heterogeneous Samples.- The Distributions of the Peak to Average and Peak to Sum Ratios under Exponentiality.- Least Square Estimation for Regression Parameters under Lost Association.- On Tests of Fit Based on Grouped Data.- Innovation Processes in Logically Constrained Time Series.- Laws of Large Numbers and Nearest Neighbor Distances.- Nonparametric and Probabilistic Classification using NN-balls with Environmental and Remote Sensing Applications.- Probabilistic Recurrence Relations.- On Some Inequalities of Chernoff-Borovkov-Utev Type for Circular Distributions.- Revisiting Local Asymptotic Normality (LAN) and Passing on to Local Asymptotic Mixed Normality (LAMN) and Local Asymptotic Quadratic (LAQ) Experiments.- Long Range Dependence in Third Order for Non-Gaussian Time Series.- Graphical Models for Clustered Binary and Continuous Responses.

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