| Shelfclass |
Sortkey |
Title |
| 2.H |
ABARBANEL, HENRY D. I |
Analysis of Observed Chaotic Data |
| 2.H |
ABLOWITZ, MARK J |
Solitons and the Inverse Scattering Transform |
| 2.H |
AGGARWAL, CHARU C. |
Outlier Analysis |
| 2.H |
AHMED, S. E |
Empirical Bayes and Likelihood Inference |
| 2.H |
AITCHISON, J |
The Statistical Analysis of Compositional Data |
| 2.H |
AMARI, S.-I |
Differential Geometry in Statistical Inference |
| 2.H |
ANDREWS, D. F |
Symbolic Computation for Statistical Inference |
| 2.H |
ASMDA |
ASMDA 1991: Applied Stochastic Models and Data Analysis: Proceedings of the Fifth International Symposium on ASMDA, Granada, Spain, 23-26 April 1991 |
| 2.H |
ATKINSON, ANTHONY C |
Exploring Multivariate Data with the Forward Search |
| 2.H |
BARBER, DAVID |
Bayesian Reasoning and Machine Learning |
| 2.H |
BARNDORFF-NIELSEN, O. E |
Networks and Chaos - Statistical and Probabilistic Aspects |
| 2.H |
BARNETT, VIC |
Comparative Statistical Inference |
| 2.H |
BARNETT, VIC |
Interpreting Multivariate Data |
| 2.H |
BASAWA, ISHWAR V |
Statistical Inference for Stochastic Processes |
| 2.H |
BATES, DOUGLAS M |
Nonlinear Regression Analysis and its Applications |
| 2.H |
BAUWENS, LUC |
Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo |
| 2.H |
BECKER, RICHARD A |
S: An Interactive Environment for Data Analysis and Graphics |
| 2.H |
BELSLEY, DAVID A |
Conditioning Diagnostics: Collinearity and Weak Data in Regression |
| 2.H |
BELSLEY, DAVID A |
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity |
| 2.H |
BENDAT, JULIUS S |
Nonlinear System Analysis and Identification from Random Data |
| 2.H |
BENDAT, JULIUS S |
Nonlinear Systems Techniques and Applications |
| 2.H |
BENDAT, JULIUS S |
Random Data: Analysis and Measurement Procedures |
| 2.H |
BEVINGTON, PHILIP R |
Data Reduction and Error Analysis for the Physical Sciences |
| 2.H |
BINGHAM, ELLA |
Advances in Independent Component Analysis and Learning Machines |
| 2.H |
BISHOP, YVONNE M. M |
Discrete Multivariate Analysis: Theory and Practice |
| 2.H |
BOHLIN, TORSTEN |
Interactive System Identification: prospects and pitfalls |
| 2.H |
BONNEAU, GEORGES-PIERRE |
Scientific Visualization: The Visual Extraction of Knowledge from Data |
| 2.H |
BOWEN, BRUCE D |
An Introduction to Data Analysis |
| 2.H |
BOWMAN, ADRIAN W |
Statistics and Problem Solving: Computer-Based Case Studies from the STEPS Project |
| 2.H |
BOZDOGAN, H |
Multivariate Statistical Modeling and Data Analysis: Proceedings of the Advanced Symposium on Multivariate Modeling and Data Analysis, May 15-16, 1986 |
| 2.H |
BRUCE, PETER |
Practical Statistics for Data Scientists: 50 Essential Concepts |
| 2.H |
BRUSCO, MICHAEL J |
Branch-and-Bound Applications in Combinatorial Data Analysis |
| 2.H |
BURNHAM, KENNETH P |
Model Selection and Multimodel Inference: a practical information-theoretic approach |
| 2.H |
CAINES, PETER E |
Geometry and Identification: Proceedings of APSM Workshop on System Geometry, System Identification, and Parameter Estimation, May 18-22, 1981 |
| 2.H |
CAMPBELL, DONALD T |
A Primer on Regression Artifacts |
| 2.H |
CHADAN, KHOSROW |
Inverse Problems in Quantum Scattering Theory |
| 2.H |
CHAMBERS, JOHN M |
Computational Methods for Data Analysis |
| 2.H |
CHAMBERS, JOHN M |
Graphical Methods for Data Analysis |
| 2.H |
CICHOCKI, ANDRZEJ |
Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications |
| 2.H |
CLAESKENS, GERDA |
Model Selection and Model Averaging |
| 2.H |
CLEVELAND, WILLIAM S |
The Elements of Graphing Data |
| 2.H |
COMON, PIERRE |
Handbook of Blind Source Separation: Independent Component Analysis and Applications |
| 2.H |
COMPSTAT |
Compstat 1982: Proceedings in Computational Statistics: Part I: 5th Symposium held in Toulouse 1982 |
| 2.H |
COMPSTAT |
Compstat 1982: Proceedings in Computational Statistics: Part II (Supplement): Short Communications, Summaries of Posters: 5th Symposium held in Toulouse 1982 |
| 2.H |
COOMBS, CLYDE H |
A Theory of Data |
| 2.H |
CORNELL, JOHN A. |
Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data |
| 2.H |
COX, D. R |
The Analysis of Binary Data |
| 2.H |
COX, TREVOR F |
Multidimensional Scaling |
| 2.H |
D'ANALYSE |
Journées d'Analyse Non Linéaire: Proceedings, Beasankcon, France, June 1977 |
| 2.H |
DANGETI, PRATAP |
Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R |
| 2.H |
DANIEL, CUTHBERT |
Fitting Equations to Data: Computer Analysis of Multifactor Data for Scientists and Engineers |
| 2.H |
DATTA, GAURI SANKAR |
Probability Matching Priors: Higher Order Asymptotics |
| 2.H |
DE LEEUW, JAN |
Multidimensional Data Analysis: Proceedings of a Workshop, Pembroke College, Cambridge University, England, June 30-July 2, 1985 |
| 2.H |
DENISON, DAVID D |
Nonlinear Estimation and Classification |
| 2.H |
DENISON, DAVID G. T |
Bayesian Methods for Nonlinear Classification and Regression |
| 2.H |
DIDAY, E |
Data Analysis and Informatics: Proceedings of the Second International Symposium on Data Analysis and Informatics, Organised by the Institut de Recherche D'informatique et D'automatique, Versailles, October 17-19, 1979 |
| 2.H |
DIGGLE, PETER J |
Statistical Analysis of Spatial Point Patterns |
| 2.H |
DRAPER, NORMAN R |
Applied Regression Analysis |
| 2.H |
DRAZIN, P. G |
Solitons: An Introduction |
| 2.H |
DUNCAN, OTIS DUDLEY |
Introduction to Structural Equation Models |
| 2.H |
DUNSTAN, F. D. J |
Worked Examples in Statistical Inference |
| 2.H |
DUNTEMAN, GEORGE H |
Principal Components Analysis |
| 2.H |
EDWARDS, A. W. F |
Likelihood: An Account of the Statistical Concept of Likelihood and its Application to Scientific Inference |
| 2.H |
EFRON, BRADLEY |
Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction |
| 2.H |
EHRENBERG, A. S. C |
Data Reduction: Analysing and Interpreting Statistical Data |
| 2.H |
ELIASON, SCOTT R |
Maximum Likelihood Estimation: Logic and Practice |
| 2.H |
ENGL, HEINZ W |
Inverse and Ill-Posed Problems |
| 2.H |
EVERITT, BRIAN S |
Applied Multivariate Data Analysis |
| 2.H |
EYKHOFF, P |
Identification and System Parameter Estimation, Part 2: Proceedings of the 3rd IFAC Symposium, The Hague/Delft, The Netherlands, 12-15 June 1973 |
| 2.H |
FARLOW, STANLEY J |
Self-Organizing Methods in Modeling: GMDH-Type Algorithms |
| 2.H |
FESTA, ROBERTO |
Optimum Inductive Methods: A Study in Inductive Probability, Bayesian Statistics, and Verisimilitude |
| 2.H |
FLURY, BERNHARD |
Common Principal Components and Related Multivariate Models |
| 2.H |
FRASER, D. A. S |
The Structure of Inference |
| 2.H |
FRASER, DONALD A. S |
Inference and Linear Models |
| 2.H |
FREEMAN, P. R |
Aspects of Uncertainty: a Tribute to D.V. Lindley |
| 2.H |
GALLANT, A. RONALD |
A Unified Theory of Estimation and Inference for Nonlinear Dynamic Models |
| 2.H |
GARTHWAITE, PAUL H |
Statistical Inference |
| 2.H |
GELMAN, ANDREW B |
Bayesian Data Analysis |
| 2.H |
GIBBONS, JEAN DICKINSON |
Nonparametric Methods for Quantitative Analysis |
| 2.H |
GIRKO, VYACHESLAV L |
Statistical Analysis of Observations of Increasing Dimension |
| 2.H |
GNANADESIKAN, RAM |
Methods for Statistical Data Analysis of Multivariate Observations |
| 2.H |
GNANADESIKAN, RAM |
Statistical Data Analysis: Lecture Notes Prepared for the American Mathematical Society Short Course "Statistical Data Analysis", Held in Toronto, Ontario, Canada, August 21-22, 1982 |
| 2.H |
GOEL, PREM K. |
The Matching Methodology: Some Statistical Properties |
| 2.H |
GOLDBERGER, ARTHUR S |
Structural Equation Models in the Social Sciences |
| 2.H |
GOLDBERGER, ARTHUR S |
Topics in Regression Analysis |
| 2.H |
GOLLEDGE, REGINALD G |
Proximity and Preference: Problems in the Multidimensional Analysis of Large Data Sets |
| 2.H |
GOOD, IRVING JOHN |
The Estimation of Probabilities: An Essay on Modern Bayesian Methods |
| 2.H |
GOVINDARAJULU, Z |
Sequential Statistical Procedures |
| 2.H |
GRAF, SIEGFRIED |
Foundations of Quantization for Probability Distributions |
| 2.H |
GREGORY, PHIL |
Bayesian Logical Data Analysis for the Physical Sciences: a Comparative Approach with Mathematica Support |
| 2.H |
GROETSCH, C. W |
Inverse Problems: Activities for Undergraduates |
| 2.H |
GROSS, ALAN J. |
Survival Distributions: Reliability Applications in the Biomedical Sciences |
| 2.H |
GUENTHER, WILLIAM C |
Concepts of Statistical Inference |
| 2.H |
GUPTA, A. K |
Advances in Multivariate Statistical Analysis |
| 2.H |
HACKING, IAN |
Logic of Statistical Inference |
| 2.H |
HÄRDLE, WOLFGANG |
Applied Nonparametric Regression |
| 2.H |
HASTIE, T. J |
Generalized Additive Models |
| 2.H |
HILDEBRAND, DAVID K |
Prediction Analysis of Cross Classifications |
| 2.H |
HOLSCHER, HARRY H |
Simplified Statistical Analysis: Handbook of Methods, Examples and Tables |
| 2.H |
HORTON, NICHOLAS J. |
Using R and RStudio for Data Management, Statistical Analysis, and Graphics |
| 2.H |
HSU, CHIEH SU |
Cell-to-Cell Mapping: A Method of Global Analysis for Nonlinear Systems |
| 2.H |
HYVÄRINEN, AAPO |
Independent Component Analysis |
| 2.H |
INTERFACE |
Interface 1973: Proceedings of the Computer Science and Statistics, Seventh Annual Symposium on the Interface: Held at Iowa State University, Ames, Iowa, October 18-19, 1973 |
| 2.H |
INTERFACE |
Interface 1976: Computer Science and Statistics: Proceedings of the Ninth Interface Symposium on: Harward University, Massachusetts Institute of Technology, April 1-2, 1976 |
| 2.H |
INTERFACE |
Interface 1977: Computer Science and Statistics: Tenth Annual Symposium on the Interface: Proceedings of the 10th Annual Symposium held at the National Bureau of Standards, Gaithersburg, Maryland, April 14-15, 1977 |
| 2.H |
ISAKOV, VICTOR |
Inverse Source Problems |
| 2.H |
IVERSEN, GUDMUND R |
Bayesian Statistical Inference |
| 2.H |
JACCARD, JAMES |
Interaction Effects in Multiple Regression |
| 2.H |
JACKSON, J. EDWARD |
A User's Guide to Principal Components |
| 2.H |
JOHNSON, NORMAN L |
Discrete Multivariate Distributions |
| 2.H |
JOHNSON, RICHARD A |
Applied Multivariate Statistical Analysis |
| 2.H |
JOLLIFFE, I. T |
Principal Component Analysis |
| 2.H |
JOSEPH, MANU |
Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning |
| 2.H |
KAGIWADA, HARRIET H |
System Identification: Methods and Applications |
| 2.H |
KANTZ, HOLGER |
Nonlinear Time Series Analysis |
| 2.H |
KIM, CHAIHO |
Statistical Analysis for Induction and Decision |
| 2.H |
KIM, JAE-ON |
Factor Analysis: Statistical Methods and Practical Issues |
| 2.H |
KIRBY, MICHAEL |
Geometric Data Analysis: An Empirical Approach to Dimensionality Reduction and the Study of Patterns |
| 2.H |
KLINE, REX B |
Principles and Practice of Structural Equation Modeling |
| 2.H |
KOCHERLAKOTA, SUBRAHMANIAM |
Bivariate Discrete Distributions |
| 2.H |
KOENKER, ROGER |
Quantile Regression |
| 2.H |
LARSON, HAROLD J |
Introduction to Probability Theory and Statistical Inference |
| 2.H |
LAUNER, ROBERT L |
Modern Data Analysis |
| 2.H |
LAZARSFELD, PAUL F |
Latent Structure Analysis |
| 2.H |
LEBLANC, HUGUES |
Statistical and Inductive Probabilities |
| 2.H |
LJUNG, LENNART |
Modeling of Dynamic Systems |
| 2.H |
LJUNG, LENNART |
System Identification: Theory for the User |
| 2.H |
LUNN, A. DANIEL |
Computer-Interactive Data Analysis |
| 2.H |
MAINDONALD, JOHN |
Data Analysis and Graphics Using R: An Example-Based Approach |
| 2.H |
MAKINO, SHOJI |
Blind Speech Separation |
| 2.H |
MANDEL, JOHN |
The Statistical Analysis of Experimental Data |
| 2.H |
MARTIN, OSVALDO |
Bayesian Analysis with Python: Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ |
| 2.H |
MCNEIL, DONALD R |
Interactive Data Analysis: A Practical Primer |
| 2.H |
MCNICHOLAS, PAUL D. |
Mixture Model-Based Classification |
| 2.H |
MEHRA, RAMAN K |
System Identification: Advances and Case Studies |
| 2.H |
MILLER, ALAN J |
Subset Selection in Regression |
| 2.H |
MODERN |
Lectures in Modern Analysis and Applications III |
| 2.H |
MOTULSKY, HARVEY |
Fitting Models to Biological Data Using Linear and Nonlinear Regression: A practical guide to curve fitting |
| 2.H |
MÜLLER, PETER |
Bayesian Inference in Wavelet-Based Models |
| 2.H |
MYERS, RAYMOND H |
Classical and Modern Regression with Applications |
| 2.H |
NELLES, OLIVER |
Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models |
| 2.H |
NIEDZWIECKI, MACIEJ |
Identification of Time-Varying Processes |
| 2.H |
NONLINEAR |
Nonlinear 1970: Symposium on Nonlinear Estimation Theory and Its Applications: San Diego, California, September 21-23, 1970 |
| 2.H |
NONLINEAR |
Nonlinear 1972: Proceedings, Third Symposium on Nonlinear Estimation Theory and Its Applications: September 11-13, 1972, San Diego, California |
| 2.H |
NONLINEAR |
Nonlinear 1973: Proceedings, Fourth Symposium on Nonlinear Estimation Theory and Its Applications: September 10-12, 1973, San Diego, California |
| 2.H |
NONLINEAR |
Nonlinear 1974: Proceedings, Fifth Symposium on Nonlinear Estimation Theory and Its Applications: September 23-25, 1974, San Diego, California |
| 2.H |
NONLINEAR |
Nonlinear 1975: Proceedings, Sixth Symposium on Nonlinear Estimation Theory and Its Applications: September 15-17, 1975, San Diego, California |
| 2.H |
PAMPEL, FRED C |
Logistic Regression: A Primer |
| 2.H |
PESARAN, M. H |
Dynamic Regression: Theory and Algorithms |
| 2.H |
PEWSEY, ARTHUR |
Circular Statistics in R |
| 2.H |
PILLAI, S. UNNIKRISHNA |
Spectrum Estimation and System Identification |
| 2.H |
PILLA, RAMANI SRI |
Improving the Rate of Convergence of EM in High-Dimensional Finite Mixtures |
| 2.H |
POLLOCK, JOHN L |
Nomic Probability and the Foundations of Induction |
| 2.H |
PRAKASA RAO, B. L. S |
Asymptotic Theory of Statistical Inference |
| 2.H |
PREISENDORFER, RUDOLPH W |
Principal Component Analysis in Meteorology and Oceanography |
| 2.H |
PURI, MADAN LAL |
Nonparametric Techniques in Statistical Inference |
| 2.H |
RAO, C. RADHAKRISHNA |
Linear Statistical Inference and its Applications |
| 2.H |
RÄSSLER, SUSANNE |
Statistical Matching: a Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches |
| 2.H |
READ, TIMOTHY R. C |
Goodness-of-Fit Statistics for Discrete Multivariate Data |
| 2.H |
ROBERTS, STEPHEN |
Independent Component Analysis: Principles and Practice |
| 2.H |
ROUSSEEUW, PETER J |
Robust Regression and Outlier Detection |
| 2.H |
ROWE, DANIEL B |
Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing |
| 2.H |
SAGE, ANDREW P |
System Identification |
| 2.H |
SCHAFER, J. L |
Analysis of Incomplete Multivariate Data |
| 2.H |
SCOTT, DAVID W. |
Multivariate Density Estimation: Theory, Practice, and Visualization |
| 2.H |
SEBER, G. A. F |
Nonlinear Regression |
| 2.H |
SILVERMAN, B. W |
Density Estimation for Statistics and Data Analysis |
| 2.H |
SIMONOFF, JEFFREY S |
Analyzing Categorical Data |
| 2.H |
SIMONOFF, JEFFREY S |
Smoothing Methods in Statistics |
| 2.H |
SIVIA, D. S |
Data Analysis: A Bayesian Tutorial |
| 2.H |
SONQUIST, JOHN A |
Searching for Structure: An Approach to Analysis of Substantial Bodies of Micro-Data and Documentation for a Computer Program |
| 2.H |
SPANOS, ARIS |
Probability Theory and Statistical Inference: Econometric Modeling with Observational Data |
| 2.H |
STAHEL, WERNER |
Directions in Robust Statistics and Diagnostics: Part II |
| 2.H |
STERLING, THEODOR D |
Introduction to Statistical Data Processing |
| 2.H |
STOCHASTIC |
Stochastic Analysis and Applications: Proceedings of the International Conference held in Swansea, April 11-15, 1983 |
| 2.H |
STOCHASTIC |
Stochastic Analysis and Related Topics II: Proceedings of a Second Workshop held in Silivri, Turkey, July 18-30, 1988 |
| 2.H |
STOCHASTIC |
Stochastic Analysis and Related Topics: Proceedings of a Workshop held in Silivri, Turkey, July 7-9, 1986 |
| 2.H |
STOCHASTIC |
Stochastic Analysis: Proceedings of the Japanese-French Seminar held in Paris, France, June 16-19, 1987 |
| 2.H |
SUN, LIANG |
Multi-Label Dimensionality Reduction |
| 2.H |
TAPIA, RICHARD A |
Nonparametric Probability Density Estimation |
| 2.H |
TARANTOLA, ALBERT |
Inverse Problem Theory and Methods for Model Parameter Estimation |
| 2.H |
TITTERINGTON, D. M |
Statistical Analysis of Finite Mixture Distributions |
| 2.H |
TOPICS |
Topics in Analysis: Colloquium on Mathematical Analysis |
| 2.H |
TORGERSON, WARREN S |
Theory and Methods of Scaling |
| 2.H |
VELLEMAN, PAUL F |
Applications, Basics, and Computing of Exploratory Data Analysis |
| 2.H |
VIDAL, RENÉ |
Generalized Principal Component Analysis |
| 2.H |
VINCENT, EMMANUEL |
Audio Source Separation and Speech Enhancement |
| 2.H |
VOGEL, CURTIS R |
Computational Methods for Inverse Problems |
| 2.H |
WALKER, HELEN M |
Statistical Inference |
| 2.H |
WALLACE, C. S |
Statistical and Inductive Inference by Minimum Message Length |
| 2.H |
WASAN, MADANLAL T |
Parametric Estimation |
| 2.H |
WESOLOWSKY, GEORGE O |
Multiple Regression and Analysis of Variance: An Introduction for Computer Users in Management and Economics |
| 2.H |
YANG, TIANYU |
Efficient Interference Suppression for Diversity Wireless Receivers: An Independent Component Analysis Based Approach |