“…Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. …”

“…With examples and activities that help you achieve real results, applying calculus and statistical methods relevant to advanced data science has never been so easy Key Features Discover how most programmers use the main Python libraries when performing statistics with Python Use descriptive statistics and visualizations to answer business and scientific questions Solve complicated calculus problems, such as arc length and solids of revolution using derivatives and integrals Book Description Are you looking to start developing artificial intelligence applications? …”

Tabla de Contenidos: “…Late registration Starting SPSS; Chapter 3 A Simple Statistical Analysis Example; When the Tanana at Nenana Thaws; Entering the Data; Entering the data definitions; Entering the actual data; The Most Likely Hour; Transforming Data; The Two Kinds of Numbers; The Day It's Most Likely to Happen; Part II Getting Data in and out of SPSS; Chapter 4 Entering and Defining Data; Entering Variable Definitions on the Variable View Tab; Name; Type; Width; Decimals; Label; Values; Missing; Columns; Align; Measure; Role; Entering and Viewing Data Items on the Data View Tab…”

Materias: “…Employees Training of Statistics…”

Tabla de Contenidos: “…Executive summary -- Introduction -- Current challenges and opportunities in federal statistics -- Using government administrative and other data for federal statistics -- Using private-sector data for federal statistics -- Protecting privacy and confidentiality while providing access to data for research use -- Advancing the paradigm of combining data sources -- References -- Appendix A: Workshop agendas -- Appendix B: Biographical sketches of Panel members and staff -- Committee on National Statistics…”

Tabla de Contenidos: “…Understanding The New Statistics Effect Sizes, Confidence Intervals, And Meta-Analysis; Copyright; Contents; Preface; 1. …”

Materias: “…Commercial statistics…”

Tabla de Contenidos: “…Getting started -- Exploring data -- Segmentation analysis -- Constrained optimization -- Regression models -- More wrangling and visualizing data -- T-testing and effect size testing -- Optimal stopping -- Chi-square teting and more effect size testing -- Doing more with ggplot2 -- K-means clustering -- Computing and plotting inequality -- More with Gini coefficients and Lorenz curves -- Intermediate and advanced modeling -- The Lindy effect -- Randomness versus causality -- Collective intelligence -- Statistical dispersion methods -- Data standardization -- Finishing up…”

Tabla de Contenidos: “…Front Cover; Contents; Preface; Chapter 1: Introduction; Chapter 2: The Lasso for Linear Models; Chapter 3: Generalized Linear Models; Chapter 4: Generalizations of the Lasso Penalty; Chapter 5: Optimization Methods; Chapter 6: Statistical Inference; Chapter 7: Matrix Decompositions, Approximations, and Completion; Chapter 8: Sparse Multivariate Methods; Chapter 9: Graphs and Model Selection; Chapter 10: Signal Approximation and Compressed Sensing; Chapter 11: Theoretical Results for the Lasso; Bibliography; Back Cover…”

Materias: “…Social sciences Research Statistical methods…”

Materias: “…Process control Statistical methods…”

Materias: “…Statistics Data processing…”

Tabla de Contenidos: “…3.6.1 The t-distribution -- 3.6.2 The F-distribution -- 3.6.3 Student's Theorem -- 3.7 *Mixture Distributions -- 4 Some Elementary Statistical Inferences -- 4.1 Sampling and Statistics -- 4.1.1 Point Estimators -- 4.1.2 Histogram Estimates of Pmfs and Pdfs -- 4.2 Confidence Intervals -- 4.2.1 Confidence Intervals for Difference in Means -- 4.2.2 Confidence Interval for Difference in Proportions -- 4.3 *Confidence Intervals for Parameters of Discrete Distributions -- 4.4 Order Statistics -- 4.4.1 Quantiles -- 4.4.2 Confidence Intervals for Quantiles -- 4.5 Introduction to Hypothesis Testing -- 4.6 Additional Comments About Statistical Tests -- 4.6.1 Observed Significance Level, p-value -- 4.7 Chi-Square Tests -- 4.8 The Method of Monte Carlo -- 4.8.1 Accept-Reject Generation Algorithm -- 4.9 Bootstrap Procedures -- 4.9.1 Percentile Bootstrap Confidence Intervals -- 4.9.2 Bootstrap Testing Procedures -- 4.10 *Tolerance Limits for Distributions -- 5 Consistency and Limiting Distributions -- 5.1 Convergence in Probability -- 5.1.1 Sampling and Statistics -- 5.2 Convergence in Distribution -- 5.2.1 Bounded in Probability -- 5.2.2 Δ-Method -- 5.2.3 Moment Generating Function Technique -- 5.3 Central Limit Theorem -- 5.4 *Extensions to Multivariate Distributions -- 6 Maximum Likelihood Methods -- 6.1 Maximum Likelihood Estimation -- 6.2 Rao-Cram ́er Lower Bound and Efficiency -- 6.3 Maximum Likelihood Tests -- 6.4 Multiparameter Case: Estimation -- 6.5 Multiparameter Case: Testing -- 6.6 The EM Algorithm -- 7 Sufficiency -- 7.1 Measures of Quality of Estimators -- 7.2 A Sufficient Statistic for a Parameter -- 7.3 Properties of a Sufficient Statistic -- 7.4 Completeness and Uniqueness -- 7.5 The Exponential Class of Distributions -- 7.6 Functions of a Parameter -- 7.6.1 Bootstrap Standard Errors -- 7.7 The Case of Several Parameters…”

Tabla de Contenidos: “…Remarks and Problems on Statistical Signal Processing -- 3. Some Study Projects on Applied Signal Processing with Remarks About Related Contributions of Scientists…”

Tabla de Contenidos: “…Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Part 1 Getting Started with Business Statistics -- Chapter 1 The Art and Science of Business Statistics -- Representing the Key Properties of Data -- Analyzing data with graphs -- Histograms -- Line graphs -- Pie charts -- Scatter plots -- Defining properties and relationships with numerical measures -- Finding the center of the data -- Measuring the spread of the data -- Determining the relationship between two variables -- Probability: The Foundation of All Statistical Analysis -- Random variables -- Probability distributions -- Discrete probability distributions -- Continuous probability distributions -- Using Sampling Techniques and Sampling Distributions -- Statistical Inference: Drawing Conclusions from Data -- Confidence intervals -- Hypothesis testing -- Simple regression analysis -- Chapter 2 Pictures Tell the Story: Graphical Representations of Data -- Analyzing the Distribution of Data by Class or Category -- Frequency distributions for quantitative data -- Figuring the class width -- Observing relative frequency distributions -- Frequency distribution for qualitative values -- Cumulative frequency distributions -- Histograms: Getting a Picture of Frequency Distributions -- Checking Out Other Useful Graphs -- Line graphs: Showing the values of a data series -- Pie charts: Showing the composition of a data set -- Scatter plots: Showing the relationship between two variables -- Chapter 3 Identifying the Center of a Data Set -- Looking at Methods for Finding the Mean -- Arithmetic mean -- Calculating the sample arithmetic mean -- Calculating the population arithmetic mean -- Geometric mean -- Weighted mean -- Calculating the weighted arithmetic mean…”

Materias: “…Commercial statistics…”

Tabla de Contenidos: “…<P>1. The Power of Statistical Tests 1.1 The Structure of Statistical Tests 1.1.1 Null Hypotheses vs. …”

Materias: “…Statistical mechanics…”

“…WILEY SERIES in PROB and STATISTICS/see 1345/6,6214/5 Series…”

Materias: “…Social sciences Statistics…”