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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-031.mrc:39026712:11530
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-031.mrc:39026712:11530?format=raw

LEADER: 11530cam a2200733Ma 4500
001 15069686
005 20210607124723.0
006 m o d
007 cr cnu||||||||
008 070110s2001 flua obs 000 0 eng d
035 $a(OCoLC)ocn123458896
035 $a(NNC)15069686
040 $aN$T$beng$epn$cNJR$dOCLCG$dN$T$dYDXCP$dCAI$dIDEBK$dE7B$dOCLCQ$dTULIB$dOCLCQ$dOCLCF$dCRCPR$dOCLCQ$dOCLCO$dUIU$dOCLCQ$dPIFBY$dOCLCQ$dUAB$dERL$dOCLCQ$dNLE$dUKMGB$dWYU$dYDX$dTYFRS$dUKAHL
015 $aGBB7E2373$2bnb
016 7 $a018454990$2Uk
019 $a77567967$a276797196$a647595360$a779917661$a957740580$a958085845$a992013327$a1031041451$a1052751529$a1065707575
020 $a1420036084$q(electronic bk.)
020 $a9781420036084$q(electronic bk.)
020 $z1584881240
020 $z9781584881247
035 $a(OCoLC)123458896$z(OCoLC)77567967$z(OCoLC)276797196$z(OCoLC)647595360$z(OCoLC)779917661$z(OCoLC)957740580$z(OCoLC)958085845$z(OCoLC)992013327$z(OCoLC)1031041451$z(OCoLC)1052751529$z(OCoLC)1065707575
037 $aTANDF_184026$bIngram Content Group
050 4 $aQA273.6$b.P74 2001
072 7 $aMAT$x029000$2bisacsh
082 04 $a519.5$222
049 $aZCUA
245 00 $aProbability and statistical models with applications /$cedited by Ch. A. Charalambides, Markos V. Koutras, N. Balakrishnan.
260 $aBoca Raton :$bChapman & Hall/CRC,$c2001.
300 $a1 online resource (xxxix, 624 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
500 $aTitle from PDF title page (viewed Jan. 29, 2007).
504 $aIncludes bibliographical references.
505 0 $aPREFACE; LIST OF CONTRIBUTORS; LIST OF TABLES; LIST OF FIGURES; THEOPHILOS N. CACOULLOS -- A VIEW OF HIS CAREER; PUBLICATIONS OF THEOPHILOS N. CACOULLOS; THE TEN COMMANDMENTS FOR A STATISTICIAN; PART I APPROXIMATION, BOUNDS AND INEQUALITIES.
505 0 $a; NON-UNIFORM BOUNDS IN PROBABILITY APPROXIMATIONS USING STEIN'S METHOD; Introduction; Poisson Approximation; Binomial Approximation: Binary Expansion of a Random Integer; Normal Approximation; Conclusion; PROBABILITY INEQUALITIES FOR MULTIVARIATE DISTRIBUTIONS WITH APPLICATIONS TO STATISTICS; Introduction and Summary; Positive Dependence and Product-Type Inequalities; Negative Dependence and Product-Type Inequalities; Bonferroni-Type Inequalities; Applications; APPLICATIONS OF COMPOUND POISSON APPROXIMATION; Introduction; First Applications; Word Counts; Discussion and Numerical Examples; COMPOUND POISSON APPROXIMATION FOR SUMS OF DEPENDENT RANDOM VARIABLES; Introduction; Preliminaries and Notations; Main Results; Examples of Applications; UNIFIED VARIANCE BOUNDS AND A STEIN-TYPE IDENTITY; Introduction; Properties of the Transformation; Application to Variance Bounds; PROBABILITY INEQUALITIES FOR U-STATISTICS
505 0 $a; Introduction; Preliminaries; Probability Inequalities; PART II PROBABILITY AND STOCHASTIC PROCESSES; THEORY AND APPLICATIONS OF DECOUPLING; Complete Decoupling of Marginal Laws and One-Sided Bounds; Tangent Sequences and Conditionally Independent Variables; Basic Decoupling Inequalities for Tangent Sequences; Applications to Martingale Inequalities and Exponential Tail Probability Bounds; Decoupling of Multilinear Forms,
505 0 $aU-Statistics and U-Processes; Total Decoupling of Stopping Times; Principle of Conditioning in Weak Convergence; Conclusion; A NOTE ON THE PROBABILITY OF RAPID EXTINCTION OF ALLELES IN A WRIGHT-FISHER PROCESS; Introduction; The Lower Bound for Boundary Sets; STOCHASTIC INTEGRAL FUNCTIONALS IN AN ASYMPTOTIC SPLIT STATE SPACE; Introduction; Preliminaries; Phase Merging Scheme for Markov Jump Processes; Average of Stochastic Integral Functional; Diffusion Approximation of Stochastic Integral Function; Integral Functional with Perturbed Kernel; BUSY PERIODS FOR SOME QUEUES WITH DETERMINISTIC INTERARRIVAL OR SERVICE TIMES; Introduction; Preliminaries: A Basic Class of Polynomials; The Dg/M(Q)/1 Queue; The M(Q)/Dg /1 Queue; THE EVOLUTION OF POPULATION STRUCTURE OF THE PERTURBED NON-HOMOGENOUS SEMI-MARKOV SYSTEM; Introduction; The Perturbed Non-Homogeneous Semi-Markov System; The Expected Population Structure with Respect to the First Passage
505 0 $aTime Probabilities; The Expected Population Structure with Respect to the Duration of a Membership in a State; The Expected Population Structure with Respect to the State Occupancy of a Membership; The Expected Population Structure with Respect to the Counting Transition Probabilities; PART III DISTRIBUTIONS, CHARACTERIZATIONS,
505 0 $aAND APPLICATIONS; CHARACTERIZATIONS OF SOME EXPONENTIAL FAMILIES BASED ON SURVIVAL DISTRIBUTIONS AND MOMENTS; Introduction; An Auxiliary Lemma; Characterizations Based on Survival Distributions; Characterizations Based on Moments; BIVARIATE DISTRIBUTIONS COMPATIBLE OR NEARLY COMPATIBLE WITH GIVEN CONDITIONAL INFORMATION; Introduction; Imprecise Specification; Precise Specification; An Example; A CHARACTERIZATION OF A DISTRIBUTION ARISING FROM ABSORPTION SAMPLING; Introduction; The Characterization Theorem; An Application; REFINEMENTS OF INEQUALITIES FOR SYMMETRIC FUNCTIONS; GENERAL OCCUPANCY DISTRIBUTIONS; Introduction; A General Random Occupancy Model; Special Occupancy Distributions; A SKEW t Distribution; Introduction; Derivation of Skew t Density; Properties of Skew t Distribution; A First Bivariate Skew t Distribution; A Second Bivariate Skew t Distribution; ON THE POSTERIOR MOMENTS FOR TRUNCATION PARAMETER
505 0 $aDISTRIBUTIONS AND IDENTIFIABILITY BY POSTERIOR MEAN FOR EXPONENTIAL DISTRIBUTION WITH LOCATION PARAMETERS; Introduction; Posterior Moments; Examples; Identifiability by Posterior Mean; An Illustrative Example; DISTRIBUTIONS OF RADON VOLUMES WITHOUT USING INTEGRAL GEOMETRY TECHNIQUES; Introduction; Evaluation of Arbitrary Moments of the Random Volumes; PART IV TIME SERIES, LINEAR,
505 0 $aAND NON-LINEAR SERIES; COINTEGRATION OF ECONOMIC TIME SERIES; Introduction; Regression Models; Simultaneous Equation Models; Canonical Analysis and the Reduced Rank Regression Estimator; Autoregressive Processes; Nonstationary Models; Cointegrated Models; Asymptotic Distribution of Estimators and Test Criterion; ON SOME POWER PROPERTIES OF GOODNESS-OF-FIT TESTS IN TIME SERIES ANALYSIS; Testing Spectral Density Fits; Local Power Considerations; Comparison; LINEAR CONSTRAINTS ON A LINEAR MODEL; Introduction; Geometric Interpretation of the Role of the Linear Constraints; M-METHODS IN GENERALIZED NONLINEAR MODELS; Introduction; Definitions and Assumptions; Asymptotic Results; Test of Significance and Computational Algorithm; PART V INFERENCE AND APPLICATIONS; EXTENTIONS OF A VARIATION OF THE ISOPERIMETRIC PROBLEM; Introduction; Information Retrieval Problem; Information Retrieval without Measurement Error; Useful Information
505 0 $aIn a Variable; Allocation of Storage Space; The Isoperimetric Problem; Extensions; ON FINDING A SINGLE POSITIVE UNIT IN GROUP-TESTING; Introduction; Description of Properties,
505 0 $aNumerical Results; Some Formulas for Procedure RDH; The Greedy Procedure RG; Conclusions; Changing the Prior with Procedure RDH; Robustness of Procedure RDH for q Known; TESTING HYPOTHESES ON VARIANCES IN THE PRESENCE OF CORRELATIONS; Bivariate Normal Population; Modifying the Hypothesis; Non-Null Moments; Null Case; The Conditional Hypothesis; ESTIMATING THE SMALLEST SCALE PARAMETER: UNIVERSAL DOMINATION RESULTS; Introduction; Main Results; ON SENSITIVITY OF EXPONENTIAL RATE OF CONVERGENCE FOR THE MAXIMUM LIKELIHOOD ESTIMATOR; Introduction; Main Results; Some Applications; Discussion; A CLOSER LOOK AT WEIGHTED LIKELIHOOD IN THE CONTEXT OF MIXTURES; Introduction; Background; Simulation Experiments and Results; Model Selection; Conclusions; ON NONPARAMETRIC FUNCTION ESTIMATION WITH INFINITE-ORDER FLAT-TOP KERNELS; Introduction: A General Family of Flat-Top Kernels of Infinite Order; Multivariate Density Estimation: A
505 0 $aReview; Further Issues on Density Estimation; MULTIPOLISHING LARGE TWO-WAY TABLES; Introduction; Bilinear Multipolishers; Matrix Approximations; Displays; Examplel; Concluding Remarks; ON DISTANCES AND MEASURES OF INFORMATION: A CASE OF DIVERSITY; Introduction; Measuring Information-Measures of Information; Properties of Measures of Information; Measures of Information and Inference; Applications; Conclusions; REPRESENTATION FORMULAE FOR PROBABILITIES OF CORRECT CLASSIFICATION; Introduction; Vector Algebraic Preliminaries; Distributional Results; ESTIMATION OF CYCLING EFFECT ON RELIABILITY; Models; Semiparametric Estimation; PART VI APPLICATIONS TO BIOLOGY AND MEDICINE; A NEW TEST FOR TREATMENT VS.
505 0 $aCONTROL IN AN ORDERED 2 X 3 CONTINGENCY TABLE; Introduction; New Test,
505 0 $aImplementation and Example; Simulation Study; Theoretical Properties; Appendix; AN EXPERIMENTAL STUDY OF THE OCCURRENCE TIMES OF RARE SPECIES; Statement of the Problem; The Design of the Experiment; Stage 2 of the Experiment; Findings; A DISTRIBUTION FUNCTIONAL ARISING IN EPIDEMIC CONTROL; Introduction; Properties of the Functional; Proof of the Theorem; Application to Epidemic Control; BIRTH AND DEATH URN FOR TERNARY OUTCOMES: STOCHASTIC PROCESSES APPLIED TO URN MODELS; Introduction; A Birth and Death Urn with Immigration for Ternary Outcomes; Embedding the Urn Scheme in a Continuous-Time Birth and Death Process; The Probabiity Generating Function for the Number of Success on Treatment i in the Continuous-Time Birth and Death Process; The Probability Generating Function for the Number of Trials on Treatment i in the Continuous-Time Birth and Death Process; The Number of Trials on Treatment i in the Continuous -Time Birth and Death
505 0 $aProcess; The Joint Probability Generating Function for the Number of Successes and the Number of Trials in the Continuous-Time Birth and Death Process; Adopting a Stopping Rule to Convert Continuous-Time Statistics to the Urn Design; Limiting Results for the Proportion of Trials on Treatme
520 8 $aAnnotation$bThis monograph of carefully collected articles reviews recent developments in theoretical and applied statistical science, highlights current noteworthy results and illustrates their applications; and points out possible new directions to pursue. With its enlightening account of statistical discoveries and its numerous figures and tables, Probability and Statistical Models with Applications is a must read for probabilists and theoretical and applied statisticians.
650 0 $aDistribution (Probability theory)
650 0 $aMathematical statistics.
650 7 $aMATHEMATICS$xProbability & Statistics$xGeneral.$2bisacsh
650 7 $aDistribution (Probability theory)$2fast$0(OCoLC)fst00895600
650 7 $aMathematical statistics.$2fast$0(OCoLC)fst01012127
650 17 $aWaarschijnlijkheidstheorie.$2gtt
650 17 $aStatistische modellen.$2gtt
655 4 $aElectronic books.
655 0 $aElectronic books.
700 1 $aCharalambides, Ch. A.
700 1 $aKoutras, Markos V.
700 1 $aBalakrishnan, N.,$d1956-
776 08 $iPrint version:$tProbability and statistical models with applications.$dBoca Raton, FL : Chapman & Hall/CRC, 2001$z1584881240$w(DLC) 00059049$w(OCoLC)44669505
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15069686$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS