“…This way, the book follows three main objectives: (i) to identify existing and easily-collectible measures, if possible in the early phases of software development, for predicting and modeling both the traditional attributes of software systems and attributes specifically related to their efficient use of resources, and to create new metrics for such purposes; (ii) to describe ways to collect these measures during the entire lifecycle of a system, using minimally-invasive monitoring of design-time processes, and consolidate them into conceptual frameworks able to support model building by using a variety of approaches, including statistics, data mining and computational intelligence; and (iii) to present models and tools to support design time evolution of systems based on design-time measures and to empirically validate them. …”

“…Based upon work done in creating the European Sourcebook of Crime and Criminal Justice Statistics (ESB), the project results will improve and complement the standards developed so far for definitions and statistical registration in four fields (police, prosecution, courts, prison), in order to contribute to the picture of criminal justice in Europe. …”

“…Transition probabilities and utilisation of health care were taken from the systematic review, population statistics, and expert judgement. Unit costs were based on market prices, DRG charges, and reimbursement schedules. …”

“…Elevate your skills with additional analytical and statistical applications. Through practical examples, this course equips you to tackle real-world business challenges. …”

“…Trade linkages in Africa, however, are very weak. Official statistics show that IAT is a small fraction of each country’s total trade and has remained roughly constant over the years. …”

“…"Subhasish Misra (Walmart Labs) explores the statistical methods available to ensure you're able to circumvent this shortcoming and get to causality. …”

“…Authors Ethan Cowan, Michael Shoemate, and Mayana Pereira and explain how these techniques enable data scientists, researchers, and programmers to run statistical analyses that hide the contribution of any single individual. …”

Tabla de Contenidos: “…-- Caught in a trap: problems in judging media bias -- But I've been to Oklahoma -- PS and QS of PQs -- Defining "the center" -- Lies, damned lies, and omitted statistics : a case study in distortion theory -- Hidden under a bushel -- An "alien" conservative injected into a liberal newsroom and the topics she might cover -- Political views in the newsroom: viva homogeneity -- The second order problem of an unbalanced newsroom -- The anti newsroom: Washington County, Utah -- Walk a mile in the shoes of a centrist -- "Wise men from the center on budget and policy priorities say" -- The language of journalists and the special case of partial-birth abortion -- The language of journalists and the Gentzkow-Shapiro measure of media bias -- Facts about the Bush tax cuts: another way to measure media bias objectively and quantitatively -- The media mu -- Measuring the influence of the media I: many methods false and spent, and one that's not -- Measuring the influence of the media II: two more groundbreaking experiments -- The media lambda -- Rendezvous with clarity -- Walk a mile in the shoes of a centrist whose mind has not been distorted by media bias -- Epilogue.…”

“…This new book, written by a top thought leader, helps everyday teachers, administrators, and family members--who don't have years of statistics courses under their belts--separate the wheat from the chaff and determine which new educational approaches are scientifically supported and worth adopting. …”
Sumario

“…The war was not inevitable, Ferguson argues, but rather the result of the mistaken decisions of individuals who would later claim to have been in the grip of huge impersonal forces.That the war was wicked, horrific, inhuman,is memorialized in part by the poetry of men like Wilfred Owen and Siegfried Sassoon, but also by cold statistics. More British soldiers were killed in the first day of the Battle of the Somme than Americans in the Vietnam War; indeed, the total British fatalities in that single battle—some 420,000—exceeds the entire American fatalities for both World Wars. …”
Sumario

Tabla de Contenidos: “…Exploring Data -- Overview -- Inspecting Data and Its Properties -- Header or Not, Here I Come -- Inspect All the Data -- Feature Names and Data Types -- Unique Identifiers, Continuous Variables, and Factors -- Computing Descriptive Statistics -- Column Statistics -- R One-Liners on the Shell -- Creating Visualizations -- Displaying Images from the Command Line -- Plotting in a Rush -- Creating Bar Charts -- Creating Histograms -- Creating Density Plots -- Happy Little Accidents -- Creating Scatter Plots -- Creating Trend Lines -- Creating Box Plots -- Adding Labels -- Going Beyond Basic Plots -- Summary -- For Further Exploration -- Chapter 8. …”

Tabla de Contenidos: “…""2.1 Uncertainty in Finance""""2.2 Sets and Measures""; ""2.2.1 Sets""; ""Illustration: Toss of Two Dice""; ""2.2.1.1 Finite, Countable, and Uncountable Sets""; ""2.2.2 Measurable Spaces and Measures""; ""2.3 Probability Spaces""; ""2.3.1 Physical and Risk-Neutral Probabilities""; ""Illustration: Probability Space""; ""2.3.2 Random Variables""; ""Illustration: Discrete Random Variables""; ""2.4 Statistics and Metrics""; ""2.4.1 Metrics in Discrete Spaces""; ""2.4.1.1 Expected Value, Variance, and Standard Deviation""; ""Illustration""; ""2.4.1.2 Co-movement Statistics""…”

Tabla de Contenidos: “…Chapter 05: Making Informed Decisions -- Factors influencing human decisions -- Human decision-making traps -- Trap #1: Over-confidence bias -- Trap #2: Anchoring bias -- Trap #3: Risk aversion -- Trap #4: Sunk costs -- Trap #5: Framing -- Trap #6: Bandwagon effect -- Trap #7: Confirmation bias -- Trap #8: Decisions based on averages -- Avoiding decision-making traps -- Exploring decision-making strategies -- Informed decision-making framework -- Decision matrix -- Pugh decision matrix -- OODA loop -- Critical thinking in decision making -- Summary -- References -- Chapter 06: Prediction and Statistics -- What is prediction? -- Understanding probabilities and statistics -- Probabilities are still just probabilities, not facts -- Introducing the confusion matrix -- False positives, false negatives, and AI model confirmation bias -- Real-world use case: AI in the world of job applicants -- Summary -- References -- Chapter 07: Value Engineering Competency -- What is economics? …”

Tabla de Contenidos: “…2.8.3 Solutions of Gases in Condensed Phases2.8.4 The Solubility Limit; 2.8.5 The Solubility of Ionic Species in Water; the Solubility Product; 2.9 Summary; References and Further Reading; Exercises; Chapter 3. Statistical Concepts Applied to Measurement and Sampling; 3.1 Basic Statistical Concepts and Descriptive Tools; 3.1.1 Histograms and Frequency Distributions; 3.1.2 Mean, Standard Deviation, and Variance; 3.1.3 Median, Percentile and Quantile; 3.2 Distributions of Random Variables; 3.2.1 The Uniform Distribution; 3.2.2 The Normal Distribution…”

Tabla de Contenidos: “…Data: Texts and Metadata -- 3.1 Corpus of Novels of the Spanish Silver Age: CoNSSA and CoNSSA-canon 3.1.1 Introduction -- 3.1.2 Literary Corpora -- 3.1.3 Statistical Population of Authors -- 3.1.4 Statistical Population of Prose -- 3.1.5 Statistical Population of Novels -- 3.1.6 Definition of the Corpora: CoNSSA and CoNSSA-canon -- 3.1.7 Criteria for Selection -- 3.1.8 Digitization Steps -- 3.1.9 Description of the Corpus -- 3.1.10 Gender Distribution -- 3.1.11 Publication of Data -- 3.2 Metadata -- 3.2.1 Introduction -- 3.2.2 Metadata, Distant Reading, and Hypotheses Testing -- 3.2.3 Typology of Metadata -- 3.2.4 Editorial and Administrative Metadata -- 3.2.5 Descriptive Metadata 3.2.6 Author's Metadata -- 3.2.7 Text and Genre Metadata -- 3.2.8 Place and Period of the Action -- 3.2.9 Protagonist Metadata -- 3.2.10 Other Literary Metadata -- 3.2.11 Description of the Metadata of CoNSSA -- 3.3 Filtering the Corpus through Classification: Are all Texts in CoNSSA Novels? …”

Tabla de Contenidos: “…Approaches to Model Building; 3.1 Ordinary Statistics; 3.2 Nonparametric Statistics; 3.3 Linear Regression in Statistical Models; 3.4 Nonlinear Growth Curve Fitting; 3.5 Cluster Analysis; 3.6 Decision Trees and Classifiers; 3.7 Neural Networks…”

Tabla de Contenidos: “…Analysis and Optimization of Weighted Order Statistic and Stack Filters; 1.1 Introduction; 1.2 Median and Order Statistic Filters; 1.3 Stack Filters; 1.4 Image Processing Applications; 1.5 Summary; Chapter 2. …”

Tabla de Contenidos: “…Vernam; 4.4 The One-Time Pad; 4.5 Finding the Key of Vernam-Vigenère Ciphertext with Known Period by Correlation; 4.6 Coincidence; 4.7 Venona; 4.8 Polyalphabetic Substitution Problems; CHAPTER 5 STATISTICAL TESTS; 5.1 Weaknesses in a Cryptosystem; 5.2 The Kolmogorov-Smirnov Test; 5.3 NIST's Proposed Statistical Tests; 5.4 Diagnosis…”

Tabla de Contenidos: “…2.15.3 One-Electron Approximation in a Periodic Dirac d-Function2.15.4 Superlattices; 2.16 Effective Mass; 2.17 Summary; Problems; Bibliography; 3 Density of States in Semiconductor Materials; 3.1 Introduction; 3.2 Distribution Functions; 3.3 Maxwell-Boltzmann Statistic; 3.4 Fermi-Dirac Statistics; 3.5 Bose-Einstein Statistics; 3.6 Density of States; 3.7 Density of States of Quantum Wells, Wires, and Dots; 3.7.1 Quantum Wells; 3.7.2 Quantum Wires; 3.7.3 Quantum Dots; 3.8 Density of States of Other Systems; 3.8.1 Superlattices…”