Tabla de Contenidos: “…9.9 Lehmann-SchefféTheorem -- 9.10 Bayes Estimation -- 9.11 Mean-Square-Error Estimation -- 9.12 Mean-Absolute-Error Estimation -- 9.13 Orthogonality Condition -- 9.14 Properties of Estimators -- 9.14.1 Unbiased -- 9.14.2 Consistent -- 9.14.3 Efficient -- 9.15 Maximum A Posteriori Estimation -- 9.16 Maximum Likelihood Estimation -- 9.17 Likelihood Ratio Test -- 9.18 Expectation-Maximization Algorithm -- 9.19 Method of Moments -- 9.20 Least-Squares Estimation -- 9.21 Properties of LS Estimators -- 9.21.1 Minimum ξWLS -- 9.21.2 Uniqueness -- 9.21.3 Orthogonality -- 9.21.4 Unbiased -- 9.21.5 Covariance Matrix -- 9.21.6 Efficient: Achieves CRLB -- 9.21.7 BLU Estimator -- 9.22 Best Linear Unbiased Estimation -- 9.23 Properties of BLU Estimators -- Problems -- Further Reading -- A Note on Part III of the Book -- APPENDICES Introduction to Appendices -- A Summaries of Univariate Parametric Distributions -- A.1 Notation -- A.2 Further Reading -- A.3 Continuous Random Variables -- A.3.1 Beta (Arcsine for α = β = 1/2, Power Function for β = 1) -- A.3.2 Cauchy -- A.3.3 Chi -- A.3.4 Chi-Square -- A.3.5 Exponential (Shifted by c) -- A.3.6 Extreme Value (Type I: Gumbel) -- A.3.7 F-Distribution -- A.3.8 Gamma (Erlang for r ∈ N with Γ (r ) = (r - 1)!) …”

Tabla de Contenidos: “…5.5 Central Limit Theorem -- Definitions at a Glance -- Formulae at a Glance -- Objective Type Questions -- Chapter 6: Sampling Theory and Distribution -- Introduction -- 6.1 Some Definitions -- 6.2 Types of Sampling -- 6.3 Advantages of Sampling -- 6.4 Sampling Distribution of a Statistic -- 6.5 Standard Error -- 6.6 Importance of Standard Error -- 6.7 Sampling from Normal and Non-Normal Populations -- 6.8 Finite Population Correction (FPC) Factor -- 6.9 Sampling Distribution of Means -- 6.10 When Population Variance is Unknown -- 6.11 Sampling Distribution of the Difference between Two Means -- 6.12 Sampling Distribution of Variance -- 6.13 The Chi-Square Distribution -- 6.14 The Student's t-Distribution -- 6.15 F-Distribution -- Definitions at a Glance -- Formulae at a Glance -- Objective Type Questions -- Chapter 7: Testing of Hypothesis (Large Samples) -- Introduction -- 7.1 Statistical Hypothesis -- 7.2 Tests of Significance -- 7.3 Some Important Definitions -- 7.4 Steps Involved in Testing of Hypothesis -- 7.5 Tests of Significance -- Definitions at a Glance -- Formulae at a Glance -- Objective Type Questions -- Chapter 8: Test of Hypothesis (Small Samples) -- Introduction -- 8.1 Student's t-Distribution -- 8.2 Critical Values of t -- 8.3 t-Test for Single Mean -- 8.4 t-Test for Difference of Means -- 8.5 Paired t-Test for Difference of Means -- 8.6 Snedecor's F-Distribution -- 8.7 Chi-Square Distribution -- 8.8 Test for Independence of Attributes -- Definitions at a Glance -- Formulae at a Glance -- Objective Type Questions -- Chapter 9: Estimation -- Introduction -- 9.1 Point Estimation -- 9.2 Characteristics of Estimators -- 9.3 Interval Estimation -- 9.4 Confidence Interval -- 9.5 Some Results -- 9.6 Confidence Interval for Difference between Two Means (Known Variances)…”

Tabla de Contenidos: “…Evaluating relations between variables with ANOVA -- Chapter 4: Dealing with Data and Numerical Issues -- Introduction -- Clipping and filtering outliers -- Winsorizing data -- Measuring central tendency of noisy data -- Normalizing with the Box-Cox transformation -- Transforming data with the power ladder -- Transforming data with logarithms -- Rebinning data -- Applying logit() to transform proportions -- Fitting a robust linear model -- Taking variance into account with weighted least squares -- Using arbitrary precision for optimization -- Using arbitrary precision for linear algebra -- Chapter 5: Web Mining, Databases, and Big Data -- Introduction -- Simulating web browsing -- Scraping the Web -- Dealing with non-ASCII text and HTML entities -- Implementing association tables -- Setting up database migration scripts -- Adding a table column to an existing table -- Adding indices after table creation -- Setting up a test web server -- Implementing a star schema with fact and dimension tables -- Using HDFS -- Setting up Spark -- Clustering data with Spark -- Chapter 6: Signal Processing and Timeseries -- Introduction -- Spectral analysis with periodograms -- Estimating power spectral density with the Welch method -- Analyzing peaks -- Measuring phase synchronization -- Exponential smoothing -- Evaluating smoothing -- Using the Lomb-Scargle periodogram -- Analyzing the frequency spectrum of audio -- Analyzing signals with the discrete cosine transform -- Block bootstrapping time series data -- Moving block bootstrapping time series data -- Applying the discrete wavelet transform -- Chapter 7: Selecting Stocks with Financial Data Analysis -- Introduction -- Computing simple and log returns -- Ranking stocks with the Sharpe ratio and liquidity -- Ranking stocks with the Calmar and Sortino ratios -- Analyzing returns statistics…”

Tabla de Contenidos: “…The impact of bundling -- Summary -- Review questions -- Additional Part F case studies on the Economics for Business student website -- Websites relevant to Part F -- Part G THE FIRM IN THE FACTOR MARKET -- 18 Labour markets, wages and industrial relations -- 18.1 Market-determined wage rates and employment -- 18.2 Power in the labour market -- 18.3 Low pay and discrimination -- 18.4 The flexible firm and the market for labour…”

Tabla de Contenidos: “…14.11 References -- 14.12 Problems -- Appendix A: Useful formulae, identities, units and constants -- Appendix B: 4-port Conversions between T and S-parameters -- Appendix C: Critical values of the F-statistic -- Appendix D: Critical values of the t-statistic -- Appendix E: Derivation of the internal inductance using the Hilbert Transform…”