Materias: “…Computational statistics Abstracts…”

“…This journal aims at development and application of statistical methods and their interface with other quantitative methods, such as computational and mathematical methods, in biological and life science, health science, and biopharmaceutical and biotechnological science…”

Materias:

Materias: “…Commercial statistics…”

Tabla de Contenidos: “…Note: sections marked with an asterisk can be skipped on first reading -- Preface xv -- Preface to the First Edition xxi -- About the Companion Website xxix -- 1 Introduction 1 -- 1.1 Classical and robust approaches to statistics 1 -- 1.2 Mean and standard deviation 2 -- 1.3 The “three sigma edit” rule 6 -- 1.4 Linear regression 8 -- 1.4.1 Straight-line regression 8 -- 1.4.2 Multiple linear regression 9 -- 1.5 Correlation coefficients 12 -- 1.6 Other parametric models 13 -- 1.7 Problems 16 -- 2 Location and Scale 17 -- 2.1 The location model 17 -- 2.2 Formalizing departures from normality 19 -- 2.3 M-estimators of location 22 -- 2.3.1 Generalizing maximum likelihood 22 -- 2.3.2 The distribution of M-estimators 25 -- 2.3.3 An intuitive view of M-estimators 28 -- 2.3.4 Redescending M-estimators 29 -- 2.4 Trimmed and Winsorized means 31 -- 2.5 M-estimators of scale 33 -- 2.6 Dispersion estimators 35 -- 2.7 M-estimators of location with unknown dispersion 37 -- 2.7.1 Previous estimation of dispersion 38 -- 2.7.2 Simultaneous M-estimators of location and dispersion 38 -- 2.8 Numerical computing of M-estimators 40 -- 2.8.1 Location with previously-computed dispersion estimation 40 -- 2.8.2 Scale estimators 41 -- 2.8.3 Simultaneous estimation of location and dispersion 42 -- 2.9 Robust confidence intervals and tests 42 -- 2.9.1 Confidence intervals 42 -- 2.9.2 Tests 44 -- 2.10 Appendix: proofs and complements 45 -- 2.10.1 Mixtures 45 -- 2.10.2 Asymptotic normality of M-estimators 46 -- 2.10.3 Slutsky’s lemma 47 -- 2.10.4 Quantiles 47 -- 2.10.5 Alternative algorithms for M-estimators 47 -- 2.11 Recommendations and software 48 -- 2.12 Problems 49 -- 3 Measuring Robustness 51 -- 3.1 The influence function 55 -- 3.1.1 *The convergence of the SC to the IF 57 -- 3.2 The breakdown point 58 -- 3.2.1 Location M-estimators 59 -- 3.2.2 Scale and dispersion estimators 59 -- 3.2.3 Location with previously-computed dispersion estimator 60 -- 3.2.4 Simultaneous estimation 61.…”

Tabla de Contenidos: “…Cover -- Title -- Copyright -- Contents -- 1 Introduction to Statistics -- 1-1 Review and Preview -- 1-2 Statistical and Critical Thinking -- 1-3 Types of Data -- 1-4 Collecting Sample Data -- 2 Summarizing and Graphing Data -- 2-1 Review and Preview -- 2-2 Frequency Distributions -- 2-3 Histograms -- 2-4 Graphs That Enlighten and Graphs That Deceive -- 3 Statistics for Describing, Exploring, and Comparing Data -- 3-1 Review and Preview -- 3-2 Measures of Center -- 3-3 Measures of Variation -- 3-4 Measures of Relative Standing and Boxplots -- 4 Probability -- 4-1 Review and Preview -- 4-2 Basic Concepts of Probability -- 4-3 Addition Rule -- 4-4 Multiplication Rule: Basics -- 4-5 Multiplication Rule: Complements and Conditional Probability -- 4-6 Counting -- 4-7 Probabilities through Simulations (on companion Web site) -- 4-8 Bayes' Theorem (on companion Web site) -- 5 Discrete Probability Distributions -- 5-1 Review and Preview -- 5-2 Probability Distributions -- 5-3 Binomial Probability Distributions -- 5-4 Parameters for Binomial Distributions -- 6 Normal Probability Distributions -- 6-1 Review and Preview -- 6-2 The Standard Normal Distribution -- 6-3 Applications of Normal Distributions -- 6-4 Sampling Distributions and Estimators -- 6-5 The Central Limit Theorem -- 6-6 Assessing Normality -- 6-7 Normal as Approximation to Binomial -- 7 Estimates and Sample Sizes -- 7-1 Review and Preview -- 7-2 Estimating a Population Proportion -- 7-3 Estimating a Population Mean -- 7-4 Estimating a Population Standard Deviation or Variance -- 8 Hypothesis Testing -- 8-1 Review and Preview -- 8-2 Basics of Hypothesis Testing -- 8-3 Testing a Claim about a Proportion -- 8-4 Testing a Claim about a Mean -- 8-5 Testing a Claim about a Standard Deviation or Variance -- 9 Inferences from Two Samples -- 9-1 Review and Preview -- 9-2 Two Proportions…”

Materias: “…Commercial statistics…”

Materias: “…Revenue Statistics…”

Materias: “…Revenue OECD countries Statistics…”

Materias: “…Revenue OECD countries Statistics Periodicals…”

Materias: “…Statistics Problems, exercises, etc…”

Materias: “…Statistics…”

Materias:

Materias: “…Finance Statistical methods…”

Tabla de Contenidos: “…1 Basic data analysis -- R programming conventions -- Generation of random numbers and patterns -- Random numbers -- Patterns -- Case study: distribution diagnostics -- Distribution functions -- Histograms -- Barcharts -- Statistics of distribution functions; Kolmogorov-Smirnov tests -- Monte Carlo confidence bands -- Statistics of histograms and related plots; X2-tests -- Moments and quantiles -- R complements -- Random numbers -- Graphical comparisons -- Functions -- Enhancing graphical displays -- R internals -- parse -- eval -- print -- Executing files -- Packages -- Statistical summary -- Literature and additional references -- 2 Regression -- General regression model -- Linear model -- Factors -- Least squares estimation -- Regression diagnostics -- More examples for linear models -- Model formulae -- Gauss-Markov estimator and residuals -- Variance decomposition and analysis of variance -- Simultaneous inference -- Scheff́e's confidence bands -- Tukey's confidence intervals -- Case study: titre plates -- Beyond linear regression -- Transformations -- Generalised linear models -- Local regression -- R complements -- Discretisation -- External data -- Testing software -- R data types -- Classes and polymorphic functions -- Extractor functions -- Statistical summary -- Literature and additional references --…”

Tabla de Contenidos: “…New Management Approaches Require Statistical Thinking</p> <p>d. Principles of Statistical Thinking</p> <p>e. …”

Materias: “…Revenue OECD countries Statistics…”

Materias: “…Nonparametric statistics…”