Tabla de Contenidos: “…Part 1: Indigenous and Tribal peoples’ voices on cancer -- Chapter 1: Indigenous and Tribal peoples across the world -- Chapter 2: Indigenous health paradigms -- Chapter 3: Cultural determinants of health -- Chapter 4: Health impacts of colonization and dispossession -- Chapter 5: Indigenous and Tribal peoples’ perspectives on health and wellbeing -- Chapter 6: Cultural safety policies and frameworks -- Part 2: Inequities in cancer -- Chapter 7: First Nations cancer statistics, outcomes, and projections -- Chapter 8: Health system inequities -- Chapter 9: Racism and its impacts on health and wellbeing -- Chapter 10: Data deficiencies, under-reporting, and data linkage -- Chapter 11: Cancer screening participation, challenges, and experiences -- Chapter 12: Lifestyle factors – risks and protective behaviors -- Chapter 13: Social inequities -- Chapter 14: Geographical influences -- Part 3: Cancer survivorship -- Chapter 15: Living well with and beyond cancer -- Chapter 16: Stories and perspectives from Indigenous and Tribal peoples diagnosed with cancer -- Chapter 17: Stories and perspectives from families and caregivers -- Chapter 18: Advocates within communities, health systems, and policy environments -- Chapter 19: Support networks -- Part 4: Creating positive change -- Chapter 20: Research priorities -- Chapter 21: Research translation and projects that are making a difference -- Chapter 22: Health system challenges and cultural safety -- Chapter 23: Public health interventions and targeted campaigns -- Chapter 24: Building the health workforce -- Chapter 25: The role of health and patient navigators -- Chapter 26: Traditional medicine and approaches to treatment and care -- Chapter 27: Engaging with the community -- Chapter 28: Indigenous leadership and data sovereignty -- Chapter 29: Living well with cancer -- Chapter 30: Cancer control policies and frameworks -- Part 5: Emerging issues and technologies -- Chapter 31: Genomics -- Chapter 32: Technology and cancer care -- Chapter 33:Personalized medicine -- Chapter 34: New approaches to screening -- Chapter 35: Biobanking…”

Tabla de Contenidos: “…Intro -- Foreword -- Basic statistics of Brazil, 2022 -- Executive Summary -- Brazil has had a strong recovery -- The new fiscal framework and a tax reform will boost debt sustainability and growth -- Boosting productivity will be key to maintaining strong growth -- Greening growth and building climate-resilient infrastructure will reduce greenhouse gas emissions -- Scaling-up infrastructure investment -- 1 Key Policy Insights -- Introduction -- Following a strong recovery, the economy is growing above the low potential -- Growth remains strong -- Risks are balanced -- The financial system has substantial safety buffers -- Monetary policy has reacted forcefully to persistently high inflation -- Fiscal reforms are needed to stabilise public debt and create fiscal space -- Strengthening fiscal rules will be key for debt sustainability and confidence -- Redesigning the tax system can strengthen growth and equity -- Fighting corruption and tax avoidance will increase tax collection -- Re-organising social protection programmes could strengthen spending efficiency -- A reform of the public administration could create additional fiscal space -- Additional reforms will be crucial to boost productivity and living standards -- Efforts to lower regulatory barriers to domestic competition should continue -- Fostering trade integration and foreign competition would bring substantial benefits -- Labour market policies should facilitate worker reallocation -- Spending on education could be more effective and more equitably distributed -- Greening growth requires reining in deforestation and reforming agriculture -- Further developing biofuels to reduce transport emissions -- Reining in deforestation -- Greening agriculture -- References -- 2 Scaling up infrastructure investment to strengthen sustainable development -- Infrastructure gaps are widespread…”

Tabla de Contenidos: “…Intro -- Foreword -- Basic statistics of Thailand, 2022 -- Executive summary -- The economy is still recovering from recent shocks -- Fiscal and monetary policies need to work in tandem for a stable recovery -- Stronger productivity growth will hinge on structural reforms -- Growth could become more inclusive -- The green transition requires bold and swift policy action -- 1 Key policy insights -- Structural reforms are needed to achieve robust and sustainable growth -- The recovery from recent shocks has been protracted and gradual -- The weakening global economy implies significant downside risks -- Financial markets have been sound, but private debt is high -- Macroeconomic policies will need to work in tandem towards a smooth recovery -- Maintaining the current monetary policy stance will help to anchor inflation expectations -- Fiscal consolidation should continue at a gradual pace -- Improving the spending mix can help boost long-term productivity -- Higher and more progressive tax revenues will need to finance additional spending -- Boosting productivity growth through structural reforms -- Stronger competition and better regulations could boost productivity -- Improving the conditions for foreign trade and investment -- Stronger anti-corruption coordination will help make the business environment fairer and more predictable -- Strengthening the social safety net -- Social protection coverage has increased, but benefit levels remain low -- Supporting access to quality jobs -- Reducing labour informality -- Improving labour market prospects for youths -- Addressing gender imbalances in the labour market -- References -- 2 Pursuing a strong and inclusive green recovery -- The green transition combines opportunities and challenges -- Achieving a coherent policy mix and ensuring strong policy coordination…”

“…Market booms and busts, tulip manias and dotcom bubbles, venture capitalists and vulture funds, he lets you know, are best explained not by dry statistics and obscure theories but by the metaphors and analogies of literature. …”

“…Most chapters will be understandable by accountants and auditors that usually are lacking in the rigors of mathematics and statistics. The data interrogation methods are based on (a) known statistical techniques, and (b) the author's own published research in the field"--…”

“…The papers incorporated in this book address contemporary issues in business and economics from Vietnam and other emerging markets in the Asian region from various angles such as economics, finance, and statistics to management science. At the time of writing this note, some of the papers have attracted more than 1000 downloads in 3 months. …”

“…New to the edition: Revisions through-out and more examples, research and statistics Two new chapters: 1. ‘Why you buy stuff you don’t need’ reveals how the big brands such as Coca Cola and Nike use NLP techniques to sell you their products. 2. …”

“…The essential M&A primer, updated with the latest research and statistics Mergers, Acquisitions, and Corporate Restructurings provides a comprehensive look at the field's growth and development, and places M&As in realistic context amidst changing trends, legislation, and global perspectives. …”

“…Mathematical Modeling of stochastic processes is based on the probability theory, in particular, that leads to using of random walks, Monte Carlo methods and the standard statistics tools. Symbolic simulations are usually realized in the form of solution to equations in one unknown, to a system of linear algebraic equations, both ordinary and partial differential equations (ODE and PDE). …”

Tabla de Contenidos: “…General performance monitoring tools -- 3.1 The topas command -- 3.1.1 Topas syntax -- 3.1.2 Basic topas output -- 3.1.3 Partition statistics -- 3.2 The jtopas utility -- 3.2.1 The jtopas configuration file -- 3.2.2 The info section for the jtopas tool -- 3.2.3 The jtopas consoles -- 3.2.4 The jtopas playback tool -- 3.3 The perfpmr utility -- 3.3.1 Information about measurement and sampling -- 3.3.2 Building and submitting a test case -- 3.3.3 Examples for perfpmr -- 3.4 Performance Diagnostic Tool (PDT) -- 3.4.1 Examples for PDT -- 3.4.2 Using reports generated by PDT -- 3.4.3 Running PDT collection manually -- 3.5 The curt command -- 3.5.1 Information about measurement and sampling -- 3.5.2 Examples for curt -- 3.5.3 Overview of the reports generated by curt -- 3.5.4 The default report…”

Tabla de Contenidos: “…; 2.6 The Controlled Process; 2.7 ISO Guidelines 9004; 2.8 Quality Management System (QMS) Requirements; 3: Fundamentals of Statistics; 3.1 Basic Concepts…”

Tabla de Contenidos: “…The MPLS Label Distribution Protocol M1B (MPLS-LDP M1B); Introduction; 4.1 The Label Distribution Protocol; 4.2 Managing LDP; 4.3 Definition of Terms Used in the MIB; 4.4 The LDP Identifier; 4.5 LDP Entity Table; 4.6 LDP Entity Configuration General Label Range Table; 4.7 ATM Tables; 4.8 Frame Relay Tables; 4.9 LDP Entity Example; 4.10 Gathering Statistics for Entities; 4.11 LDP Peer Table; 4.12 LDP Hello Adjacency Table; 4.13 LDP Session Table; 4.14 LDP ATM Session Table; 4.15 LDP Frame Relay Session Table; 4.16 The LDP Session Statistics Table…”

Tabla de Contenidos: “…; 1.1.4 A variety of options; 1.1.5 How to model asset prices; 1.1.6 One step beyond; 1.2 Bibliographical notes; References; 2 Probability, random variables and statistics; 2.1 Probability; 2.1.1 Conditional probability; 2.2 Bayes' rule; 2.3 Random variables; 2.3.1 Characteristic function; 2.3.2 Moment generating function; 2.3.3 Examples of random variables; 2.3.4 Sum of random variables…”

Tabla de Contenidos: “…2.8 Applications using frequency domain properties2.9 Further reading; 2.10 References; Chapter 3 Basic image processing operations; 3.1 Overview; 3.2 Histograms; 3.3 Point operators; 3.3.1 Basic point operations; 3.3.2 Histogram normalization; 3.3.3 Histogram equalization; 3.3.4 Thresholding; 3.4 Group operations; 3.4.1 Template convolution; 3.4.2 Averaging operator; 3.4.3 On different template size; 3.4.4 Gaussian averaging operator; 3.5 Other statistical operators; 3.5.1 More on averaging; 3.5.2 Median filter; 3.5.3 Mode filter; 3.5.4 Anisotropic diffusion; 3.5.5 Force field transform…”

Tabla de Contenidos: “…-- Using the QuickPress Tool -- Adding a New Post -- Adding Links -- Saving, Checking Your Spelling, and Publishing Posts -- 5 Taking Posts Further -- Doing More with Posts -- Putting Your Posts in Categories -- Tagging Your Posts -- Updating Links and Your Blogroll -- 6 Using HTML in Your Widgets and Blog -- How HTML Can Take You Further -- Power Tools for Better Blogging -- HTML Basics in WordPress -- YouTube as an Example of Embedded HTML -- Using the Text Widget -- 7 Adding Features to Your Blog -- Making Your Blog Better -- Adding Users to Your Blog -- Adding a Static Page -- Adding Polls -- 8 Tracking Statistics and Bringing In Visitors -- Getting More People to Visit Your Blog -- WordPress Statistics -- How Visitors Can Subscribe to Your Blog -- Using the RSS Widget -- III: Taking Your Blog Further -- 9 Adding Graphics to Your Posts -- Why Add Graphics and Other Media? …”

Tabla de Contenidos: “…Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Introduction -- Audience -- Course Adoption -- Errors -- Acknowledgments -- About the Authors -- Chapter 1: Data Collection and Cleaning -- Data-Collection Strategies -- Data Preprocessing Strategies -- Programming with R -- Data Types in R -- Data Structures in R -- Package Installation in R -- Reading and Writing Data in R -- Using the FOR Loop in R -- Using the WHILE Loop in R -- Using the IF-ELSE Statement in R -- Programming with Python -- Data Wrangling and Analytics in R and Python -- Structuring and Cleaning Data -- Missing Data -- Strategies for Dealing with Missing Data -- Data Deduplication -- Summary -- Exercise -- Notes -- References -- Chapter 2: Mathematical Background for Predictive Analytics -- Basics of Linear Algebra -- Vectors and Matrices -- Determinant -- Simple Linear Regression (SLR) -- Principal Component Analysis (PCA) -- Singular Value Decomposition (SVD) -- Introduction to Neural Networks -- Summary -- Exercise -- References -- Chapter 3: Introduction to Statistics, Probability, and Information Theory for Analytics -- Normal Distribution and the Central Limit Theorem -- Pearson Correlation Coefficient and Covariance -- Basic Probability for Predictive Analytics -- Conditional Probability -- Bayes' Theorem and Bayesian Classifiers -- Information Theory for Predictive Modeling -- Summary -- Exercise -- Notes -- References -- Chapter 4: Introduction to Machine Learning -- Statistical versus Machine Learning Models -- Regression Techniques -- Multiple Linear Regression (MLR) Model -- Assumptions of MLR -- Introduction to Multinomial Logistic Regression (MLogR) -- Bias versus Variance Trade-off -- Overfitting and Underfitting -- Regularization -- Ridge Regression -- Lasso Regression -- Summary -- Exercise…”

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Author -- About the Reviewers -- www.PacktPub.com -- Table of Contents -- Preface -- Chapter 1: Laying the Foundation for Reproducible Data Analysis -- Introduction -- Setting up Anaconda -- Installing the Data Science Toolbox -- Creating a virtual environment with virtualenv and virtualenvwrapper -- Sandboxing Python applications with Docker images -- Keeping track of package versions and history in IPython Notebook -- Configuring IPython -- Learning to log for robust error checking -- Unit testing your code -- Configuring pandas -- Configuring matplotlib -- Seeding random number generators and NumPy print options -- Standardizing reports, code style, and data access -- Chapter 2: Creating Attractive Data Visualizations -- Introduction -- Graphing Anscombe's quartet -- Choosing seaborn color palettes -- Choosing matplotlib color maps -- Interacting with IPython Notebook widgets -- Viewing a matrix of scatterplots -- Visualizing with d3.js via mpld3 -- Creating heatmaps -- Combining box plots and kernel density plots with violin plots -- Visualizing network graphs with hive plots -- Displaying geographical maps -- Using ggplot2-like plots -- Highlighting data points with influence plots -- Chapter 3: Statistical Data Analysis and Probability -- Introduction -- Fitting data to the exponential distribution -- Fitting aggregated data to the gamma distribution -- Fitting aggregated counts to the Poisson distribution -- Determining bias -- Estimating kernel density -- Determining confidence intervals for mean, variance, and standard deviation -- Sampling with probability weights -- Exploring extreme values -- Correlating variables with Pearson's correlation -- Correlating variables with the Spearman rank correlation -- Correlating a binary and a continuous variable with the point biserial correlation…”

Tabla de Contenidos: “…Statistical tests -- 3.4. Literature benchmarks -- 3.4.1. …”

Tabla de Contenidos: “…Prediction Accuracy -- 5.3.2.2. Statistical Analysis -- 5.3.2.3. Comparison -- 5.4. …”