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841Publicado 2023Tabla de Contenidos: “…Chapter 17 Ten Tricky SPSS Skills to Practice -- Using RECODE INTO SAME -- Using COMPUTE with System Missing and Other Missing Values -- Merging Two or More Files -- Creating Consistent Charts -- Creating Consistent Tables -- Replicating a Multistep Process in Syntax -- Producing Tables with Custom Tables -- Using the TEMPORARY Command -- Explaining P-Values to Others -- Explaining Statistical Assumptions to Others -- Chapter 18 Ten Practice Certification Questions -- Answers to Practice Questions -- Index -- EULA…”
Libro electrónico -
842
Recurso de actualización contínua -
843Publicado 2023Tabla de Contenidos: “…Intro -- Foreword -- Executive summary -- Tax levels in 2022 -- Tax structures in 2021 -- Changes by level of government -- Tax revenue buoyancy in OECD countries -- 1 Tax revenue trends 1965-2022 -- Tax-to-GDP ratios -- Tax ratios for 2022 (provisional data) -- Tax-to-GDP ratios for 2021 (final data) -- Tax ratio changes between 1965 and 2021 -- Tax structures -- Taxes on income and profits -- Social security contributions -- Property taxes -- Consumption taxes -- Taxes by level of government -- Revenues of sub-national government in federal and unitary countries -- Composition of central and sub-central government revenues -- Revenues paid to a supranational authority -- Non-wastable tax credits -- Financing of social security-type benefits in OECD countries -- References -- Notes -- 2 Tax revenue buoyancy in OECD countries -- Introduction -- Introducing tax buoyancy -- Tax revenue data in Revenue Statistics -- Short- and long-run tax buoyancy in the OECD -- MG estimator results -- PMG estimator results -- Analysing the results -- Results using real rather than nominal data -- The evolution of tax buoyancy in OECD countries -- Interaction between tax buoyancy and other socio-economic factors -- Tax buoyancy under different economic conditions -- Impact of inflation on tax buoyancy -- Impact of population ageing on tax buoyancy -- Conclusion -- References -- Annex 2.A. …”
Libro electrónico -
844
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845
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846por Griffiths, DawnTabla de Contenidos: “…; We know what you're thinking; We know what your brain is thinking; Metacognition: thinking about thinking; Here's what WE did; Here's what YOU can do to bendyour brain into submission; Read Me; The technical review team; Acknowledgments; Safari® Books Online; Chapter 1: visualizing information: First Impressions; Statistics are everywhere; But why learn statistics?…”
Publicado 2009
Libro electrónico -
847por Boslaugh, SarahTabla de Contenidos: “…Table of Contents; Preface; What Is Statistics?; The Focus of This Book; Statistics in the Age of Information; Organization of This Book; Symbols Used in This Book; Conventions Used in This Book; We'd Like to Hear From You; Safari® Books Online; Acknowledgments; Sarah Boslaugh; Paul Watters; Basic Concepts of Measurement; Measurement; Levels of Measurement; Nominal Data; Ordinal Data; Interval Data; Ratio Data; Continuous and Discrete Data; Operationalization; Proxy Measurement; True and Error Scores; Random and Systematic Error; Reliability and Validity; Reliability; Measures of Agreement…”
Publicado 2008
Libro electrónico -
848por Takahashi, ShinTabla de Contenidos: “…Table of Contents; Preface; Our Prologue: Statistics with Heart-Pounding Excitement; Chapter 1: Determining Data Types; 1. …”
Publicado 2008
Libro electrónico -
849por Pathak, R. P. 1959-Tabla de Contenidos: “…Cover -- Contents -- Preface -- Chapter 1: Measures of Central Tendency -- Concept of Statistics -- Meaning and Definition of Statistics -- Need and Importance of Statistics -- The Frequency Distribution -- The Array -- Discrete Frequency Distribution -- Continuous Frequency Distribution -- Number of Classes -- Class Interval -- Class Frequency -- Tally Sheet -- Measures of Central Tendency -- Characteristics of an Ideal Measure of Central Value -- Summary -- Key Words -- References -- Additional Readings -- Chapter 2: Measure of Variability -- Measures of Dispersion Percentile -- Measures of Dispersion -- The Range -- The Quartile Deviation -- The Quartiles -- Merits and Demerits of Quartile Deviation -- Mean Deviation -- Computation of Mean Deviation from Ungrouped Data -- Mean Deviation from Grouped Data -- Merits and Demerits of Mean Deviation -- Variance and Standard Deviation -- Computation of Variance and Standard Deviation for Ungrouped Data -- Computation of Variance and Standard Deviation for Grouped Data -- Combined Variance and Standard Deviation -- Merits and Demerits of Standard Deviation -- Graphical Representation of Data -- The Histogram -- Frequency Polygon -- Smoothing the Frequency Polygon -- Cumulative Frequency Curve or Ogive -- Coefficient of Variation -- The Percentile -- Computation of Percentile -- Percentile Ranks -- Computation of Percentile Ranks -- Summary -- Key Words -- References -- Additional Readings -- Chapter 3: The Correlation Method -- Meaning and Concept of Correlation -- Methods of Correlation -- Scatter Diagram Method -- The Correlation Coefficient -- Pearson's Coefficient of Correlation -- Direct Method -- Short-Cut Method -- Rank Difference Correlation Methods -- Spearman's Coefficient of Rank Correlation -- Spearman's Coefficient of Rank Difference Correlation q -- Spearman's q with Tied Ranks…”
Publicado 2011
Libro electrónico -
850Publicado 2010Tabla de Contenidos: “…Let's get started: preliminaries and a SAS quick start -- Reading, combining, and managing data for later analysis -- Using SAS procedures -- Complex table construction and output control -- Basic models in SAS -- Producing statistical graphics in SAS -- Traditional SAS graphics -- Formatting variables, recoding variables, and writing programs -- Programming in a DATA step -- Macro programming -- Programming with matrices and vectors…”
Libro electrónico -
851Publicado 2003Tabla de Contenidos: “…Front Cover; Contents; Preface; Chapter 1: Statistical Concepts; Chapter 2: Statistical Techniques; Chapter 3: Financial Computational Models; Chapter 4: Deterministic Status Models; Chapter 5: Future Lifetime Random Variables and Life Tables; Chapter 6: Stochastic Status Models; Chapter 7: Advanced Stochastic Status Models; Chapter 8: Markov Chain Methods; Chapter 9: Scenario and Simulation Testing; Chapter 10: Further Statistical Considerations; Appendix A: Excel Statistical Functions, Basic Mathematical Functions, and Add-Ins; Appendix B: Acronyms and Principal Sections; References…”
Libro electrónico -
852Publicado 2012Tabla de Contenidos: “…Industrial Statistics with Minitab; Contents; Preface; Part OneINTRODUCTION ANDGRAPHICALTECHNIQUES; 1 A First Look; 1.1 Initial Screen; 1.2 Entering Data; 1.3 Saving Data: Worksheets and Projects; 1.4 Data Operations: An Introduction; 1.5 Deleting and Inserting Columns and Rows; 1.6 First Statistical Analyses; 1.7 Getting Help; 1.7.1 The Main Help Menu; 1.7.2 Contextual Help; 1.7.3 StatGuideTM; 1.8 Personal Configuration; 1.9 Assistant; 1.10 Any Difficulties?…”
Libro electrónico -
853por Boslaugh, SarahTabla de Contenidos: “…Basic concepts of measurement -- Probability -- Inferential statistics -- Descriptive statistics and graphic displays -- Categorical data -- The t-test -- The Person correlation coefficient -- Introduction to regression and ANOVA -- Factorial ANOVA and ANCOVA -- Multiple linear regression -- Logistic, multinomial, and polynomial regression -- Factor analysis, cluster analysis, and discriminant function analysis -- Nonparametric statistics -- Business and quality improvement statistics -- Medical and epidemiological statistics -- Educational and psychological statistics -- Data management -- Research design -- Communicating with statistics -- Critiquing statistics presented by others…”
Publicado 2012
Libro electrónico -
854Publicado 2015Materias: “…Gospels Criticism, Textual Statistical methods…”
Libro electrónico -
855Publicado 2015“…Chapman & Hall/CRC machine learning & pattern recognition series Statistical reinforcement learning…”
Libro electrónico -
856por Lei, TianhuTabla de Contenidos: “…Statistics of MR Imaging; 8. Statistics of MR Imaging; 9. …”
Publicado 2012
Libro electrónico -
857
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858Publicado 2011“…In SAS Statistics by Example, Ron Cody offers up a cookbook approach for doing statistics with SAS. …”
Libro electrónico -
859Publicado 2010Tabla de Contenidos: “…Probability and Statistics for Finance; Contents; Preface; About the Authors; Chapter 1: Introduction; Part One: Descriptive Statistics; Part Two: Basic Probability Theory; Part Three: Inductive Statistics; Part Four: Multivariate Linear Regression Analysis; Appendix A: Important Functions and Their Features; Appendix B: Fundamentals of Matrix Operations and Concepts; Appendix C: Binomial and Multinomial Coefficients; Appendix D: Application of the Log-Normal Distribution to the Pricing of Call Options; References; Index…”
Libro electrónico -
860Publicado 2017Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Author -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Journey from Statistics to Machine Learning -- Statistical terminology for model building and validation -- Machine learning -- Major differences between statistical modeling and machine learning -- Steps in machine learning model development and deployment -- Statistical fundamentals and terminology for model building and validation -- Bias versus variance trade-off -- Train and test data -- Machine learning terminology for model building and validation -- Linear regression versus gradient descent -- Machine learning losses -- When to stop tuning machine learning models -- Train, validation, and test data -- Cross-validation -- Grid search -- Machine learning model overview -- Summary -- Chapter 2: Parallelism of Statistics and Machine Learning -- Comparison between regression and machine learning models -- Compensating factors in machine learning models -- Assumptions of linear regression -- Steps applied in linear regression modeling -- Example of simple linear regression from first principles -- Example of simple linear regression using the wine quality data -- Example of multilinear regression - step-by-step methodology of model building -- Backward and forward selection -- Machine learning models - ridge and lasso regression -- Example of ridge regression machine learning -- Example of lasso regression machine learning model -- Regularization parameters in linear regression and ridge/lasso regression -- Summary -- Chapter 3: Logistic Regression Versus Random Forest -- Maximum likelihood estimation -- Logistic regression - introduction and advantages -- Terminology involved in logistic regression -- Applying steps in logistic regression modeling…”
Libro electrónico