“…It also addresses the hidden statistics of hate crime reports and the need for enhanced community education to prevent radicalization and intolerance…”

Tabla de Contenidos: “…Geographical Conditions -- 4. Method and Data Statistics -- 5. Research Findings -- 6. Discussions and Conclusions -- Acknowledgements -- References -- 9: GLOBALIZATION AND CLIMATE CHANGE: NEW EMPIRICAL PANEL DATA EVIDENCE -- 1. …”

“…Basic skills in computer science, mathematics, and statistics are required…”

Tabla de Contenidos: “…-- Characteristics of Time Series -- Time Series and Forecasting - Past and Present -- Demography -- Genetics -- Astronomy -- Economics -- Meteorology -- Medicine -- Applied Statistics -- Python for Time Series -- Installing libraries -- Jupyter Notebook and JupyterLab -- NumPy -- pandas -- Best practice in Python -- Summary -- Chapter 2: Time-Series Analysis with Python -- What is time series analysis? …”

Tabla de Contenidos: “…""Table of contents""; ""Basic statistics of Switzerland""; ""Executive summary""; ""Assessment and recommendations""; ""The economic recovery has been broadly balanced but risks to the outlook have increased""; ""Figure 1. …”

Tabla de Contenidos: “…Intro -- Basic statistics of Brazil, 2019 -- Executive summary -- The COVID-19 outbreak has plunged the economy into a deep recession -- Raising spending efficiency is needed to address fiscal challenges -- Reviving productivity is the key for a strong recovery of incomes -- Well-designed training policies are key -- 1 Key policy insights -- The strength of the recovery will hinge on economic reforms -- COVID-19 has plunged the economy back into a long and deep recession -- The short-term prospects will depend on the health situation -- Risks are centred around the implementation of reforms and fiscal sustainability -- External vulnerabilities seem contained -- Financial soundness indicators are solid but the pandemic entails unprecedented risks -- Inflation is below target and interest rates have reached a long-time low -- The fiscal outlook has become much more challenging after COVID-19 -- Fiscal adjustment will have to resume after the pandemic -- Reducing budget rigidities is key -- Improving the effectiveness of social transfers -- Managing high payroll expenses -- Reducing inefficient subsidies and tax expenditures -- Reforming taxes to boost productivity and enhance fairness -- Further social progress is possible at reasonable fiscal cost -- Strengthening the social safety net -- Improving labour market policies -- Raising the quality of education -- Fighting corruption and economic crimes -- Making economic growth greener and more sustainable -- Halting illegal deforestation in the Amazon region -- References -- 2 Raising productivity through structural reforms -- Possible sources of low productivity growth -- How can policies help to strengthen productivity growth? …”

Tabla de Contenidos: “…Other Asset Classes The Impact of Bond Evaluations Six Basic Tenets of High Yield Municipal Investing Chapter 4: High Yield Credit Risk Revisited: The Default Record Definitions of Default Default Record for Rated Bonds Default Record for Unrated Bonds Recent Default and Impairment Statistics Recovery Rates Lessons from Historical Default Record Notes Chapter 5: Professionally-Managed High Yield Municipal Products Actively Managed Products Passively Managed Products Notes References Chapter 6: Investing In Individual Bonds (Richard Daskin, CFA, CFP) A Few Preliminary Considerations Investing in the Primary or New Issue Market Investing in the Secondary Market Executing Trades in the Secondary Market Monitoring Your Holdings Chapter 7: Investing In Distressed Bonds The Distressed Municipal Universe The Theory and Practice of Distressed Municipal Investing Notes Chapter 8: Case Studies Distressed Opportunity: National Benevolent Association Fallen Angel: Denver International Airport Notes Chapter 9: Managing Bond Defaults and Bankruptcies (Kenji Mochizuki, CIRA) Nine Differences between Chapter 9 and 11 Bondholders' Rights and Remedies in Workouts Accounting Issues Related to Chapter 9 References Chapter 10: Common Types of High Yield Municipal Bonds (Patrick Flanagan, James Lyman, Keith Rochelli, and Ken Rogozinski) Corporate-Backed Municipal Bonds Hospital Revenue Bonds Toll Road Bonds Housing Bonds Continuing Care Retirement Communities (CCRC) Bonds Notes Chapter 11: Special Types of High Yield Municipal Bonds (Richard Larkin and Shannan Wilson) Tobacco Settlement Bonds Land-Secured Bonds Notes References Chapter 12: Up-And-Coming High Yield Sectors (Jon Barasch, Edward Krauss, Jeffrey Lamb, Matt Eden, and Melissa Robertson) Charter School Bonds Native American Gaming Bonds Chapter 13: High Yield Investing in the Post-Bond Insurance Era Learning from History Prospects for Tax Reform The New Compliance Landscape New Credit Opportunities Advances in Trading and Price Discovery Technology Buy American! …”

Tabla de Contenidos: “…Non-deliverable Forward (NDF) -- Options -- Calls and Puts -- The Black and Scholes Pricing Model -- Historic Volatility and Implied Volatility -- Binomial Pricing Model -- The Put/Call Parity -- Cap, Floor, Collar and Zero-cost Option -- Break Forward, Range Forward and Participation Forward -- Option Trading Strategies: Straddle, Strangle, Spread, Butterfly, Condor, Ratio Spread and Risk Reversal -- Barrier Options: Knock-out Option and Knock-in Option -- Credit Derivatives, CDS, Synthetic CDO and First-to-default Baskets -- The 'Greeks': Delta, Gamma, Vega, Theta and Rho -- Statistics -- Mean, Median and Mode -- Variance and Standard Deviation -- Correlation and Covariance -- Probability Density and the Normal Probability Function -- Risk Management and Investment Management -- Value at Risk (VaR) -- The Capital Adequacy Ratio -- Efficient Markets Hypothesis -- Appendices -- Glossary -- A Summary of Day/Year Conventions for Money Markets and Government Bond Markets -- Index…”

“…Including a wealth of interviews, facts, statistics, and stories from experts in a wide range of fields, this book is a how-to guide to be used to connect with the many organizations, individuals, and ideas dedicated to innovating and improving teaching and learning. …”

Tabla de Contenidos: “…Content-based filtering approaches -- Hybrid recommender systems -- Model-based collaborative filtering -- The utility matrix -- Spark-based movie recommendation systems -- Item-based collaborative filtering for movie similarity -- Step 1 - Importing necessary libraries and creating a Spark session -- Step 2 - Reading and parsing the dataset -- Step 3 - Computing similarity -- Step 4 - Testing the model -- Model-based recommendation with Spark -- Data exploration -- Movie recommendation using ALS -- Step 1 - Import packages, load, parse, and explore the movie and rating dataset -- Step 2 - Register both DataFrames as temp tables to make querying easier -- Step 3 - Explore and query for related statistics -- Step 4 - Prepare training and test rating data and check the counts -- Step 5 - Prepare the data for building the recommendation model using ALS -- Step 6 - Build an ALS user product matrix -- Step 7 - Making predictions -- Step 8 - Evaluating the model -- Selecting and deploying the best model -- Summary -- Chapter 7: Options Trading Using Q-learning and Scala Play Framework -- Reinforcement versus supervised and unsupervised learning -- Using RL -- Notation, policy, and utility in RL -- Policy -- Utility -- A simple Q-learning implementation -- Components of the Q-learning algorithm -- States and actions in QLearning -- The search space -- The policy and action-value -- QLearning model creation and training -- QLearning model validation -- Making predictions using the trained model -- Developing an options trading web app using Q-learning -- Problem description -- Implementating an options trading web application -- Creating an option property -- Creating an option model -- Putting it altogether -- Evaluating the model -- Wrapping up the options trading app as a Scala web app -- The backend -- The frontend -- Running and Deployment Instructions…”

Tabla de Contenidos: “…. -- How it works... -- Computing statistical functions on Series and DataFrame objects -- Getting ready -- How to do it... -- Retrieving summary descriptive statistics -- How it works... -- Calculating the mean -- Calculating variance and standard deviation -- How to sort data in Series and DataFrame objects -- Getting ready -- How to do it... -- How it works... -- Performing merging, joins, concatenation, and grouping -- Getting ready -- How to do it... -- How it works... -- Merging data from multiple pandas objects -- Chapter 5: Matrices and Linear Algebra -- Introduction -- Matrix operations and functions on two-dimensional arrays -- How to do it... -- Solving linear systems using matrices -- How it works... -- How to do it... -- Calculating the null space of a matrix -- How to do it... -- Calculating the LU decompositions of a matrix -- How to do it... -- Calculating the QR decomposition of a matrix -- How to do it... -- Calculating the eigenvalue and eigenvector of a matrix -- How to do it... -- Diagonalizing a matrix -- How to do it... -- Calculating the Jordan form of a matrix -- How to do it... -- Calculating the singular value decomposition of a matrix -- How to do it... -- Creating a sparse matrix -- How to do it... -- Computations on top of a sparse matrix -- How to do it... -- Chapter 6: Solving Equations and Optimization -- Introduction -- Non-linear equations and systems -- Getting ready -- How to do it... -- How it works... -- System of equations and how to solve it -- Getting ready -- How to do it... -- How it works... -- Choosing the solver used to find the solution of equations…”

Tabla de Contenidos: “…Using indexes in an intelligent way -- Improving speed using clustered tables -- Clustering tables -- Making use of index only scans -- Understanding additional B-tree features -- Combined indexes -- Adding functional indexes -- Reducing space consumption -- Adding data while indexing -- Introducing operator classes -- Hacking up an operator class for a B-tree -- Creating new operators -- Creating operator classes -- Testing custom operator classes -- Understanding PostgreSQL index types -- Hash indexes -- GiST indexes -- Understanding how GiST works -- Extending GiST -- GIN indexes -- Extending GIN -- SP-GiST indexes -- BRIN indexes -- Extending BRIN indexes -- Adding additional indexes -- Achieving better answers with fuzzy searching -- Taking advantage of pg_trgm -- Speed up LIKE queries -- Handling regular expressions -- Understanding full-text search - FTS -- Comparing strings -- Defining GIN indexes -- Debugging your search -- Gathering word statistics -- Taking advantage of exclusion operators -- Summary -- Chapter 4: Handling Advanced SQL -- Introducing grouping sets -- Loading some sample data -- Applying grouping sets -- Investigating performance -- Combining grouping sets with the FILTER clause -- Making use of ordered sets -- Understanding hypothetical aggregates -- Utilizing windowing functions and analytics -- Partitioning data -- Ordering data inside a window -- Using sliding windows -- Abstracting window clauses -- Making use of onboard windowing functions -- rank and dense_rank functions -- ntile() function -- lead() and lag() functions -- first_value(), nth_value(), and last_value() functions -- row_number() function -- Writing your own aggregates -- Creating simple aggregates -- Adding support for parallel queries -- Improving efficiency -- Writing hypothetical aggregates -- Summary -- Chapter 5: Log Files and System Statistics…”

Tabla de Contenidos: “…. -- Generating planner statistics -- Getting ready -- How to do it... -- How it works... -- null_frac -- avg_width -- n_distinct -- most_common_vals -- most_common_freqs -- histogram_bounds -- correlation -- most_common_elems -- most_common_elem_freqs -- Tuning with background writer statistics -- Getting ready -- How to do it... -- How it works... -- checkpoints_timed -- checkpoints_req -- checkpoint_write_time -- checkpoint_sync_time -- buffers_checkpoint -- buffers_clean -- max_written_clean -- buffers_backend -- buffers_backend_fsync -- buffers_alloc -- stats_reset -- There's more... -- 9. …”

Tabla de Contenidos: “…. -- Checking the cluster's health -- Monitoring cluster events -- The cluster utilization statistics -- Checking the cluster's status -- The cluster authentication entries -- Monitoring Ceph MON -- How to do it... -- Checking the MON status -- Checking the MON quorum status -- Monitoring Ceph OSDs -- How to do it... -- OSD tree view -- OSD statistics -- Checking the CRUSH map -- Monitoring PGs -- Monitoring Ceph MDS -- How to do it... -- Introducing Ceph Metrics and Grafana -- collectd -- Grafana -- Installing and configuring Ceph Metrics with the Grafana dashboard -- How to do it... -- Monitoring Ceph clusters with Ceph Metrics with the Grafana dashboard -- How to do it ... -- Chapter 8: Operating and Managing a Ceph Cluster -- Introduction -- Understanding Ceph service management -- Managing the cluster configuration file -- How to do it... -- Adding monitor nodes to the Ceph configuration file -- Adding an MDS node to the Ceph configuration file -- Adding OSD nodes to the Ceph configuration file -- Running Ceph with systemd -- How to do it... -- Starting and stopping all daemons -- Querying systemd units on a node -- Starting and stopping all daemons by type -- Starting and stopping a specific daemon -- Scale-up versus scale-out -- Scaling out your Ceph cluster -- How to do it... -- Adding the Ceph OSD -- Adding the Ceph MON -- There's more... -- Scaling down your Ceph cluster -- How to do it... -- Removing the Ceph OSD -- Removing the Ceph MON -- Replacing a failed disk in the Ceph cluster -- How to do it... -- Upgrading your Ceph cluster -- How to do it... -- Maintaining a Ceph cluster -- How to do it... -- How it works... -- Throttle the backfill and recovery: -- Chapter 9: Ceph under the Hood -- Introduction -- Ceph scalability and high availability -- Understanding the CRUSH mechanism -- CRUSH map internals -- How to do it…”

Tabla de Contenidos: “…Background: how pawnbroking works -- 4. Data and summary statistics -- 4.1 Data -- 4.2 Summary statistics -- 5. …”

Tabla de Contenidos: “…Facts Aggregation Challenges -- 2.1.5. Statistics Preservation-Demanding Situations -- 2.1.6. …”

Tabla de Contenidos: “…Evidence from International Variations in Self-Dealing Transparency -- 14.1 Introduction -- 14.2 Corporate Governance, Transparency, and Transaction Costs -- 14.2.1 The Nature of Corporate Governance -- 14.2.2 Corporate Governance in Asia -- 14.2.3 Corporate Governance Transparency -- 14.2.4 Opportunistic Behavior and Transaction Costs -- 14.2.5 Country Determinants of Governance Transparency -- 14.2.6 Contribution -- 14.3 Methodology -- 14.3.1 Dependent Variable -- 14.3.2 Statistical Specification -- 14.3.3 Independent Control Variables -- 14.3.4 Additional Statistical Correction -- 14.4 Results -- 14.4.1 Descriptive Statistics and Preliminary Analysis -- 14.4.2 Results of Regressions of Bounded Tobit Regressions -- 14.4.3 Discussion -- 14.5 Conclusion -- Acknowledgments -- References -- 15 Attitudes Toward Tax Evasion in Korea: A Study in Public Finance -- 15.1 Introduction -- 15.2 Prior Studies -- 15.3 The Present Study -- 15.3.1 Methodology -- 15.3.2 Findings -- 15.3.3 Gender -- 15.3.4 Age -- 15.3.5 Employment Status -- 15.3.6 Marital Status -- 15.3.7 Religion -- 15.3.8 Social Class -- 15.3.9 Confidence in Government -- 15.3.10 Feeling of Happiness -- 15.3.11 Longitudinal -- 15.4 Conclusion -- References -- 16 Attitudes Toward Accepting a Bribe: A Comparative Study of the People's Republic of China, Taiwan, and Hong Kong -- 16.1 Introduction -- 16.2 Prior Studies -- 16.3 The Present Study -- 16.3.1 Methodology -- 16.3.2 Findings -- Gender -- Age -- Marital status -- 16.4 Conclusion -- References -- Part Three: Sovereign Wealth Funds…”

Tabla de Contenidos: “…-- 3.6.3 Nominal Interest Rates -- 3.7 Appendix: Force of Interest - An Analogy with Mortality Rates -- 3.8 Recommended Reading -- 4 Financial Mathematics (2): Miscellaneous Examples -- 4.1 Introduction -- 4.2 Writing Annuity Functions -- 4.2.1 Writing a function for an annuity certain -- 4.3 The 'presentValue' Function -- 4.4 Annuity Function -- 4.5 Bonds - Pricing and Yield Calculations -- 4.6 Bond Pricing: Non-Constant Interest Rates -- 4.7 The Effect of Future Yield Changes on Bond Prices Throughout the Term of the Bond -- 4.8 Loan Schedules -- 4.8.1 Introduction -- 4.8.2 Method 1 -- 4.8.3 Method 2 -- 4.9 Recommended Reading -- 5 Fundamental Statistics: A Selection of Key Topics -- 5.1 Introduction -- 5.2 Basic Distributions in Statistics -- 5.3 Some Useful Functions for Descriptive Statistics -- 5.3.1 Introduction -- 5.3.2 Bivariate or Higher Order Data Structure -- 5.4 Statistical Tests -- 5.4.1 Exploring for Normality or Any Other Distribution in the Data -- 5.4.2 Goodness-of-fit Testing for Fitted Distributions to Data -- 5.4.2.1 Continuous distributions -- 5.4.2.2 Discrete distributions -- 5.4.3 T-tests -- 5.4.3.1 One sample test for the mean -- 5.4.3.2 Two sample tests for the mean -- 5.4.4 F-test for Equal Variances -- 5.5 Main Principles of Maximum Likelihood Estimation -- 5.5.1 Introduction -- 5.5.2 MLE of the Exponential Distribution -- 5.5.2.1 Obtaining the MLE numerically using R -- 5.5.2.2 Obtaining the MLE analytically -- 5.5.3 Large Sample (Asymptotic) Properties of MLE…”

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