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ORCIDInternational Encyclopedia of Statistical Science 2011
- Miodrag Lovric:
International Encyclopedia of Statistical Science. Springer 2011, ISBN 978-3-642-04897-5
A
- S. Ejaz Ahmed, S. M. Enayetur Raheem
, Shakhawat Hossain:
Absolute Penalty Estimation. 1-3 - Francisco Louzada-Neto:
Accelerated Lifetime Testing. 3-5 - M. Ivette Gomes:
Acceptance Sampling. 5-7 - Vassiliy Simchera:
Actuarial Methods. 7-10 - Jana Jurecková:
Adaptive Linear Regression. 10-12 - Said El Melhaoui:
Adaptive Methods. 12-14 - George A. F. Seber, Mohammad Salehi M.:
Adaptive Sampling. 14-16 - Thomas A. Louis:
Advantages of Bayesian Structuring: Estimating Ranks and Histograms. 16-19 - James P. M. Ntozi:
African Population Censuses. 19-20 - Devendra Chhetry:
Aggregation Schemes. 20-22 - Gavin J. S. Ross:
Agriculture, Statistics in. 23-25 - Hirotugu Akaike:
Akaike's Information Criterion. 25 - Joseph E. Cavanaugh, Andrew A. Neath:
Akaike's Information Criterion: Background, Derivation, Properties, and Refinements. 26-29 - Sonja Petrovic, Aleksandra B. Slavkovic:
Algebraic Statistics. 29-32 - Herold Dehling:
Almost Sure Convergence of Random Variables. 32-35 - Gunter Spöck, Jürgen Pilz:
Analysis of Areal and Spatial Interaction Data. 35-39 - James J. Cochran:
Analysis of Covariance. 39-41 - Asghar Ali:
Analysis of Multivariate Agricultural Data. 41-44 - Gudmund R. Iversen:
Analysis of Variance. 44-46 - Hardeo Sahai, Mohammed I. Ageel, Anwer Khurshid:
Analysis of Variance Model, Effects of Departures from Assumptions Underlying. 46-51 - Theodore W. Anderson:
Anderson-Darling Tests of Goodness-of-Fit. 52-54 - Juan Carlos Abril:
Approximations for Densities of Sufficient Estimators. 54-57 - Juan Carlos Abril:
Approximations to Distributions. 57-61 - Tarald O. Kvålseth:
Association Measures for Nominal Categorical Variables. 61-64 - Eric D. Feigelson:
Astrostatistics. 64-66 - John E. Kolassa:
Asymptotic Normality. 67-68 - Robert Serfling:
Asymptotic Relative Efficiency in Estimation. 68-72 - Yakov Nikitin:
Asymptotic Relative Efficiency in Testing. 72-75 - Juan Carlos Abril:
Asymptotic, Higher Order. 75-76 - Badi H. Baltagi:
Autocorrelation in Regression. 76-77 - Vincenzo Capasso:
Axioms of Probability. 77-79
B
- Yves Tillé:
Balanced Sampling. 81-82 - Héctor Manuel Zárate Solano:
Banking, Statistics in. 82-83 - Gauss M. Cordeiro:
Bartlett and Bartlett-Type Corrections. 84-87 - Hossein Arsham, Miodrag Lovric:
Bartlett's Test. 87-88 - Joseph B. Kadane:
Bayes' Theorem. 89-90 - D. A. S. Fraser:
Bayesian Analysis or Evidence Based Statistics? 90-97 - Hocine Fellag, Lynda Atil:
Bayesian Approach of the Unit Root Test. 97-99 - Jaeyong Lee:
Bayesian Nonparametric Statistics. 99-101 - Jayanta K. Ghosh, Mohan Delampady:
Bayesian P-Values. 101-104 - Renkuan G. Guo:
Bayesian Reliability Modeling. 104-106 - Ludwig Fahrmeir:
Bayesian Semiparametric Regression. 106-107 - José M. Bernardo:
Bayesian Statistics. 107-133 - Jordi Vallverdú:
Bayesian Versus Frequentist Statistical Reasoning. 133-135 - Francisco J. Samaniego:
Bayesian vs. Classical Point Estimation: A Comparative Overview. 136-138 - Allan S. Cohen, Seock-Ho Kim:
Behrens-Fisher Problem. 138-141 - Simo Puntanen, George P. H. Styan:
Best Linear Unbiased Estimation in Linear Models. 141-144 - Arjun K. Gupta:
Beta Distribution. 144-145 - Sander Greenland:
Bias Analysis. 145-148 - Gauss M. Cordeiro:
Bias Correction. 148-152 - Andreas N. Philippou, Demetrios L. Antzoulakos:
Binomial Distribution. 152-154 - Susan R. Wilson:
Bioinformatics. 154-155 - Christy Chuang-Stein:
Biopharmaceutical Research, Statistics in. 156-158 - Susan R. Wilson:
Biostatistics. 158-160 - Colin Rose:
Bivariate Distributions. 160-166 - Rudolf Beran:
Bootstrap Asymptotics. 166-168 - Michael R. Chernick, Wenceslao González-Manteiga, Rosa M. Crujeiras, Erniel B. Barrios:
Bootstrap Methods. 169-174 - Tapas Kumar Chandra, Fejzi Kolaneci:
Borel-Cantelli Lemma and Its Generalizations. 174-176 - Takashi Daimon:
Box-Cox Transformation. 176-178 - John Boland:
Box-Jenkins Time Series Models. 178-181 - Vincenzo Capasso:
Brownian Motion and Diffusions. 181-185 - Rob J. Hyndman:
Business Forecasting Methods. 185-187 - Jasna Soldic-Aleksic, Rade Stankic:
Business Intelligence. 188-189 - Mark L. Berenson:
Business Statistics. 189-191 - Ger Snijkers, Mojca Bavdaz:
Business Surveys. 191-194
C
- Christos P. Kitsos:
Calibration. 195-196 - Jacques Dauxois, Guy Martial Nkiet:
Canonical Analysis and Measures of Association. 196-199 - Tenko Raykov:
Canonical Correlation Analysis. 199-201 - Daniel R. Jeske, Janet Myhre:
Careers in Statistics. 201-203 - Alastair Scott, Chris Wild:
Case-Control Studies. 204-205 - Alan Agresti, Maria Kateri:
Categorical Data Analysis. 206-208 - Sander Greenland, Judea Pearl:
Causal Diagrams. 208-216 - Sander Greenland:
Causation and Causal Inference. 216-221 - Hon Keung Tony Ng:
Censoring Methodology. 221-224 - Margo J. Anderson:
Census. 224-228 - Julio M. Singer:
Central Limit Theorems. 228-234 - Christos H. Skiadas:
Chaotic Modelling. 234-238 - Miljenko Huzak:
Characteristic Functions. 238-239 - Gerold Alsmeyer:
Chebyshev's Inequality. 239-240 - Rolf Sundberg:
Chemometrics. 240-242 - Herman Chernoff:
Chernoff Bound. 242-243 - Herman Chernoff:
Chernoff Faces. 243-244 - Herman Chernoff:
Chernoff-Savage Theorem. 244-245 - Miljenko Huzak:
Chi-Square Distribution. 245-246 - Vassiliy Voinov, Mikhail Nikulin:
Chi-Square Goodness-of-Fit Tests: Drawbacks and Improvements. 246-250 - David C. Howell:
Chi-Square Test: Analysis of Contingency Tables. 250-252 - Karl L. Wuensch:
Chi-Square Tests. 252-253 - Toshimitsu Hamasaki:
Clinical Trials, History of. 254-256 - Hiroyuki Uesaka:
Clinical Trials: An Overview. 256-259 - Jagdish N. Srivastava:
Clinical Trials: Some Aspects of Public Interest. 259-262 - H. Charles Romesburg:
Cluster Analysis: An Introduction. 262-265 - Janusz L. Wywial:
Cluster Sampling. 265-267 - Czeslaw Stepniak:
Coefficient of Variation. 267 - Sander Greenland:
Collapsibility. 267-270 - Peter Hackl:
Comparability of Statistics. 270-273 - Graham Dunn:
Complier-Average Causal Effect (CACE) Estimation. 273-274 - Clive William John Granger:
Components of Statistics. 274-275 - Joze Rovan:
Composite Indicators. 275-276 - Colin Rose:
Computational Statistics. 276-279 - Takis Konstantopoulos:
Conditional Expectation and Probability. 279-282 - William E. Strawderman:
Confidence Distributions. 282-283 - Michael Smithson:
Confidence Interval. 283-284 - Sander Greenland:
Confounding and Confounder Control. 284-290 - Seng Huat Ong, Choung Min Ng:
Contagious Distributions. 290-291 - Rabi Bhattacharya:
Continuity Correction. 292-293 - Alberto Luceño:
Control Charts. 293-297 - Pedro J. Rodríguez Esquerdo:
Convergence of Random Variables. 297-300 - R. Dennis Cook:
Cook's Distance. 301-302 - Carlo Sempi:
Copulas. 302-305 - Umberto Cherubini:
Copulas in Finance. 305-309 - Pranesh Kumar:
Copulas: Distribution Functions and Simulation. 309-312 - Vladimir V. Ulyanov:
Cornish-Fisher Expansions. 312-315 - Nitis Mukhopadhyay:
Correlation Coefficient. 315-318 - Jörg Blasius:
Correspondence Analysis. 318-321 - Colin L. Mallows:
Cp Statistic. 321 - Maarten Jansen, Gerda Claeskens:
Cramér-Rao Inequality. 322-323 - Michael A. Stephens:
Cramér-Von Mises Statistics for Discrete Distributions. 323-326 - Harvey Goldstein:
Cross Classified and Multiple Membership Multilevel Models. 326-328 - Charles R. Baker:
Cross-Covariance Operators. 328-329
D
- Alfredo Rizzi:
Data Analysis. 331-334 - Reza Modarres:
Data Depth. 334-336 - Bruno Scarpa:
Data Mining. 336-339 - Eamonn J. Keogh:
Data, Mining Time Series Data. 339-342 - Stephen E. Fienberg, Aleksandra B. Slavkovic:
Data Privacy and Confidentiality. 342-345 - Frank M. Guess, Thomas C. Redman:
Data Quality (Poor Quality Data: The Fly in the Data Analytics Ointment). 345-346 - Martin Peterson:
Decision Theory: An Introduction. 346-349 - Sven Ove Hansson:
Decision Theory: An Overview. 349-355 - Carlos Eduardo Valdivieso Taborga:
Decision Trees for the Teaching of Statistical Estimation. 356-359 - Mikhail Nikulin:
Degradation Models in Reliability and Survival Analysis. 359-363 - Chong Ho Yu:
Degrees of Freedom. 363-365 - Joseph G. Eisenhauer:
Degrees of Freedom in Statistical Inference. 365-367 - Krishnan Namboodiri:
Demographic Analysis: A Stochastic Approach. 367-370 - Jan M. Hoem:
Demography. 370-373 - Konstantinos Fokianos:
Density Ratio Model. 373-374