Books on the topic 'Bivariat'

Coulter, Lisa Osterman. The application of piecewise smooth bivariate interpolation to multiphase tabular equation of states. Stony Brook, N. Y: University of Stony Brook, Dept. of Applied Mathematics and Statistics, 1992.

Lai, Chin Diew, and N. Balakrishnan. Continuous Bivariate Distributions. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/b101765.

K, Kocherlakota, ed. Bivariate discrete distributions. New York: M. Dekker, 1992.

Grønbæk, Christian. Bivariant periodic cyclic homology. Boca Raton: Chapman & Hall/CRC, 1999.

Lorentz, G. G. Solvability Problems of Bivariate Interpolation. Bonn: Gesellschaft fur Mathematik und Datenverarbeitung, 1985.

D, Lai C., ed. Continuous bivariate distributions, emphasising applications. Adelaide, South Australia: Rumsby Scientific Publishing, 1990.

Haung, Xin. Statistics of bivariate extreme values. Amsterdam: Thesis Publishers, 1992.

Lorentz, G. G. Solvability of Bivariate Interpolation II: Applications. Darmstadt: GMD, 1986.

Lorentz, G. G. Three Papers on Bivariate Birkhoff Interpolation. Darmstadt: GMD, 1986.

Lorentz, Rudolph A. Uniform bivariate hermite interpolation I: Coordinate degree. Sankt Augustin: Gesellschaft fur Mathematik und Datenverarbeitung, 1988.

Ruts, Ida. Computing depth contours of bivariate point clouds. Antwerpen: Universiteit Antwerpen, 1994.

Jayachandran, Toke. An APL function for bivariate normal probabilities. Monterey, California: Naval Postgraduate School, 1987.

Lorentz, Rudolph Alexander. Uniform Bivariate Hermite Interpolation II: Total Degree. Bonn: Gesellschaft fur Mathematik und Datenverarbeitung, 1988.

Jacoby, William G. Statistical graphics for univariate and bivariate data. Thousand Oaks, Calif: Sage Publications, 1997.

Applied statistics: From bivariate through multivariate techniques. Los Angeles: SAGE Publications, 2008.

Applied statistics: From bivariate through multivariate techniques. 2nd ed. Thousand Oaks: SAGE Publications, 2013.

Jacoby, William. Statistical Graphics for Univariate and Bivariate Data. 2455 Teller Road, Thousand Oaks California 91320 United States of America: SAGE Publications Inc., 1997. http://dx.doi.org/10.4135/9781412985963.

Moskowitz, Herbert. A polynomial approximation for bivariate normal probabilities. West Lafayette, Ind: Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1986.

Das, N. C. Decision Processes by Using Bivariate Normal Quantile Pairs. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2364-1.

D, Lai C., ed. The engineering statistician's guide to continuous bivariate distributions. Adelaide, S.A: Rumsby Scientific Pub., 1991.

Lewis, Peter A. W. Interactive analysis of gappy bivariate time series using AGSS. Monterey, Calif: Naval Postgraduate School, 1992.

Hidalgo, Javier. Spectral analysis for bivariate time series with long memory. London: Suntory and Toyota International Centres for Economics and Related Disciplines, 1996.

Denis, Daniel J. SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119465775.

Feiveson, Alan H. Improving the chi-squared approximation for bivariate normal tolerance regions. Washington, D. C: NASA, 1993.

Johnson, Richard Arnold. Some bivariate distributions for modeling the strength properties of lumber. Madison, WI: U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1999.

Scotti, Chiara. A bivariate model of Fed and ECB main policy rates. Washington, D.C: Federal Reserve Board, 2006.

Bermann, Georgina. Estimation and inference in bivariate and multivariate ordinal probit models. Uppsala: Uppsala University, 1993.

A, Johnson Richard. Some bivariate distributions for modeling the strength properties of lumber. Madison, WI (One Gifford Pinchot Dr., Madison 53705-2398): U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1999.

Johnson, Richard Arnold. Some bivariate distributions for modeling the strength properties of lumber. Madison, WI (One Gifford Pinchot Dr., Madison 53705-2398): U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1999.

Lee, Wang-Sheng. Well-being and ill-being: A bivariate panel data analysis. Bonn, Germany: IZA, 2007.

Diekhoff, George. Statistics for the social and behavioral sciences: Univariate, bivariate, multivariate. Dubuque, IA: Wm. C. Brown Publishers, 1992.

Alternative Parametrisierungen bei korrelierten bivariaten binären Responsevariablen. Frankfurt am Main: P. Lang, 1997.

Peters, Dawn. A bivariate signed-rank test for the two-sample location problem. Corvallis, Or: Dept. of Statistics, Oregon State University, 1988.

Peters, Dawn. A bivariate signed-rank test for the two-sample location problem. Corvallis, Or: Dept. of Statistics, Oregon State University, 1988.

Diekhoff, George. Statistics for the social and behavioral sciences: Univariate, bivariate, and multivariate. IA: Wm. C. Brown, 1992.

Tanabe, Kunio. BNDE, FORTRAN subroutines for computing Bayesian nonparametric univariate and bivariate density estimator. Tokyo: Institute of Statistical Mathematics, 1988.

Kiss, Alexander Joseph. The inferential performance of five estimators in bivariate repeated measures regession analysis. Ottawa: National Library of Canada, 1998.

Murphy, Anthony. A simple LM test for zero correlation in the censored bivariate probit model. Dublin: University College Dublin, Centre for Economic Research, 1994.

Czaplewski, Raymond L. Expected value and variance of Moran's bivariate spatial autocorrelation statistic for a permutation test. Fort Collins, Colo. (240 W. Prospect Rd., Fort Collins 80526): U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station, 1993.

Zingg, D. W. A method of smooth bivariate interpolation for data given on a generalized curvilinear grid. [S.l.]: [s.n.], 1992.

Cain, Michael. The recursive evaluation of the moments of the minimum of bivariate normal random variables. Aberystwyth: University of Wales, Aberystwyth, Dept. of Economics, 1994.

Cain, Michael. Prediction under LINEX loss given a realisation of the minimum of components with bivariate normal errors. Aberystwyth: University of Wales, Aberystwyth, Department of Economics, 1994.

Murphy, Anthony. Testing normality in bivariate probit models: A simple artificial regression based LM test : y Anthony Murphy. Dublin: Centre for Economic Research, Department of Economics, University College Dublin, 1994.

Hurd, Matthew. Using copulas to construct bivariate foreign exchange distributions with an application to the sterling exchange rate index. London: Bank of England, 2007.

Fallick, Bruce. The recall and new job search of laid-off workers: A bivariate proportional hazard model with unobserved heterogeneity. Washington, D.C: Federal Reserve Board, 2003.

Balakrishnan, N., and Chin Diew Lai. Continuous Bivariate Distributions. Springer, 2009.

Balakrishnan, N., and Chin Diew Lai. Continuous Bivariate Distributions. Springer, 2010.

Kocherlakota, Subrahmaniam, and Kathleen Kocherlakota. Bivariate Discrete Distributions. CRC Press, 2017. http://dx.doi.org/10.1201/9781315138480.

United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. Bivariate extreme value distributions. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

Jonathan M. Rosenberg,Joachim Cuntz,Ralf Meyer. Topological and Bivariant K-Theory. Springer, 2008.