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"This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional approaches to the analysis of variance (ANOVA) and regression, is remarkable. Through a combination of theoretical developments, improved and more flexible statistical methods, and the power of the computer, it is now possible to address problems with standard methods that seemed insurmountable only a few years ago"--
Statistical science --- Mathematical statistics --- Estimation theory. --- Robust statistics. --- Statistical hypothesis testing. --- Estimation theory --- Robust statistics --- Statistical hypothesis testing --- 303.6 --- 304.6 --- AA / International- internationaal --- Hypothesis testing (Statistics) --- Significance testing (Statistics) --- Statistical significance testing --- Testing statistical hypotheses --- Distribution (Probability theory) --- Hypothesis --- Statistics, Robust --- Estimating techniques --- Least squares --- Stochastic processes --- Raming : theorie (wiskundige statistiek). Bayesian analysis and inference --- Variantie-analyse, tests --- Psychodiagnostiek --- Handboeken en inleidingen.
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Business Statistics with Solutions in R covers a wide range of applications of statistics in solving business related problems. It will introduce readers to quantitative tools that are necessary for daily business needs and help them to make evidence-based decisions. The book provides an insight on how to summarize data, analyze it, and draw meaningful inferences that can be used to improve decisions. It will enable readers to develop computational skills and problem-solving competence using the open source language, R. Mustapha Abiodun Akinkunmi uses real life business data for illustrative examples while discussing the basic statistical measures, probability, regression analysis, significance testing, correlation, the Poisson distribution, process control for manufacturing, time series analysis, forecasting techniques, exponential smoothing, univariate and multivariate analysis including ANOVA and MANOVA and more in this valuable reference for policy makers, professionals, academics and individuals interested in the areas of business statistics, applied statistics, statistical computing, finance, management and econometrics.
R (Computer program language) --- GNU-S (Computer program language) --- Domain-specific programming languages --- Mathematical statistics --- Statistics --- Commercial statistics --- Data processing --- E-books --- Confidence interval. --- Correlation. --- Expected value. --- Hypothesis testing. --- Probability. --- Regression. --- Sampling Distributions. --- Time series.
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A Journey of Diversity & Inclusion in South Africa is a groundbreaking new book that addresses inequality, prejudice, injustice, racism, sexism and all other forms of discrimination in society, and in particular the workplace, in a positive way. Using entertaining stories from her own experience and a light-hearted writing style, diversity expert Nene Molefi offers a comprehensive approach to help any organisation achieve a more inclusive and positive working environment.-- Publisher's website.
Statistical hypothesis testing. --- Hypothesis testing (Statistics) --- Significance testing (Statistics) --- Statistical significance testing --- Testing statistical hypotheses --- Distribution (Probability theory) --- Hypothesis --- Mathematical statistics --- Diversity in the workplace --- Multiculturalism --- Leadership --- Ability --- Command of troops --- Followership --- Cultural diversity policy --- Cultural pluralism --- Cultural pluralism policy --- Ethnic diversity policy --- Social policy --- Anti-racism --- Ethnicity --- Cultural fusion --- Cultural diversity in the workplace --- Cultural diversity in workforce --- Diversity in the workforce --- Diversity in the work place --- Multicultural diversity in the workplace --- Multicultural workforce --- Workforce diversity --- Personnel management --- Government policy --- E-books
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This text will equip both practitioners and theorists with the necessary background in testing hypothesis and decision theory to enable innumerable practical applications of statistics. Its intuitive and informal style makes it suitable as a text for both students and researchers. It can serve as the basis a one- or two-semester graduate course as well as a standard handbook of statistical procedures for the practitioners’ desk. Parametric, permutation, and bootstrap procedures for testing hypotheses are developed side by side. The emphasis on distribution-free permutation procedures will enable workers in applied fields to use the most powerful statistic for their applications and satisfy regulatory agency demands for methods that yield exact significance levels, not approximations. Algebra and an understanding of discrete probability will take the reader through all but the appendix, which utilizes probability measures in its proofs. The revised and expanded text of the 3rd edition includes many more real-world illustrations from biology, business, clinical trials, economics, geology, law, medicine, social science and engineering along with twice the number of exercises. Real-world problems of missing and censored data, multiple comparisons, nonresponders, after-the-fact covariates, and outliers are dealt with at length. New sections are added on sequential analysis and multivariate analysis plus a chapter on the exact analysis of multi-factor designs based on the recently developed theory of synchronous permutations. The book's main features include: Detailed consideration of one-, two-, and k-sample tests, contingency tables, clinical trials, cluster analysis, multiple comparisons, multivariate analysis, and repeated measures Numerous practical applications in archeology, biology, business, climatology, clinical trials, economics, education, engineering, geology, law, medicine, and the social sciences Valuable techniques for reducing computation time Practical advice on experimental design Sections on sequential analysis Comparisons among competing bootstrap, parametric, and permutation techniques. From a review of the first edition: "Permutation Tests is a welcome addition to the literature on this subject and will prove a valuable guide for practitioners . . . This book has already become an important addition to my reference library. Those interested in permutation tests and its applications will enjoy reading it." (Journal of the American Statistical Association) From a review of the second edition: "Permutation Tests is superb as a resource for practitioners. The text covers a broad range of topics, and has myriad pointers to topics not directly addressed. . . the book gives guidance and inspiration to encourage developing one’s own perfectly tailored statistics…The writing is fun to read." (John I. Marden).
Statistical hypothesis testing --- Resampling (Statistics) --- Tests d'hypothèses (Statistique) --- Rééchantillonnage (Statistique) --- #PBIB:2000.2 --- 37.015 --- AA / International- internationaal --- 303.0 --- 304.8 --- 304.6 --- Hypothesis testing (Statistics) --- Significance testing (Statistics) --- Statistical significance testing --- Testing statistical hypotheses --- Distribution (Probability theory) --- Hypothesis --- Mathematical statistics --- Resampling methods (Statistics) --- Nonparametric statistics --- Hulpwetenschappen van de pedagogiek --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken). --- Steekproeftheorie. --- Variantie-analyse, tests. --- Statistical hypothesis testing. --- Resampling (Statistics). --- 37.015 Hulpwetenschappen van de pedagogiek --- Tests d'hypothèses (Statistique) --- Rééchantillonnage (Statistique) --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken) --- Variantie-analyse, tests --- Steekproeftheorie --- Statistics . --- Statistical Theory and Methods. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics
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Time-series analysis --- Série chronologique --- 519.246 --- #TELE:SISTA --- AA / International- internationaal --- 304.0 --- 519.55 --- Analysis of time series --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Probabilities --- Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen. --- 519.246 Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- Série chronologique --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen --- Multiple time series (not cas)
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Essentials of Applied Econometrics prepares students for a world in which more data surround us every day and in which econometric tools are put to diverse uses. Written for students in economics and for professionals interested in continuing an education in econometrics, this succinct text not only teaches best practices and state-of-the-art techniques, but uses vivid examples and data obtained from a variety of real world sources. The book's emphasis on application uniquely prepares the reader for today's econometric work, which can include analyzing causal relationships or correlations in big data to obtain useful insights.
E-books --- Econometrics --- Economics, Mathematical --- Statistics --- analyzing causal relationships economics. --- applied econometrics. --- applied economics. --- big data. --- business economics. --- econ textbooks. --- econ. --- econometric tools. --- econometrics in the modern world. --- econometrics textbooks. --- economics best practices. --- economics education. --- economics textbook. --- economics. --- endogeneity. --- hypothesis testing economics. --- multiple regression. --- real world economics. --- rebeltext. --- science and math. --- simple regression.
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A regional convergence pact adopted recently by the Conference of Heads of States of WAEMU provides a framework for fiscal convergence similar to the European Union’s Maastricht Treaty. Using bivariate co-integration and error-correction models, this paper investigates the relationship between revenue and expenditure in seven member countries to determine the feasibility and nature of the policy adjustment required to meet the new convergence criteria. The results indicate that, in the long run, there is causality running from revenue to expenditure in Burkina Faso and Senegal, from expenditure to revenue in Benin and Togo, a bidirectional causality in Côte d’Ivoire and Mali, and no causality in Niger.
Budgeting --- Macroeconomics --- Public Finance --- History of Thought: Macroeconomics --- Hypothesis Testing --- Estimation --- Fiscal Policy --- National Government Expenditures and Related Policies: General --- National Budget --- Budget Systems --- Debt --- Debt Management --- Sovereign Debt --- Public finance & taxation --- Budgeting & financial management --- Expenditure --- Budget planning and preparation --- Government debt management --- Fiscal stance --- Fiscal policy --- Public financial management (PFM) --- Expenditures, Public --- Budget --- Debts, Public --- Niger
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We examine the mean-reverting properties of real exchange rates, by comparing the unit root properties of a group of international real exchange rates with two groups of intra-national real exchange rates. Strikingly, we find that while the international real rates taken as a group appear mean-reverting, the intra-national rates are not. This is consistent with the view that while monetary shocks may be mean-reverting over the medium term, underlying real factors do generate long-term trends in real exchange rates.
Exports and Imports --- Foreign Exchange --- Hypothesis Testing --- 'Panel Data Models --- Spatio-temporal Models' --- Financial Aspects of Economic Integration --- Currency --- Foreign exchange --- International economics --- Real exchange rates --- Exchange rates --- Purchasing power parity --- Monetary unions --- Exchange rate analysis --- Economic integration --- United States --- Panel Data Models --- Spatio-temporal Models
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In this paper we propose a novel approach to obtain the predictive density of global GDP growth. It hinges upon a bottom-up probabilistic model that estimates and combines single countries’ predictive GDP growth densities, taking into account cross-country interdependencies. Speci?cally, we model non-parametrically the contemporaneous interdependencies across the United States, the euro area, and China via a conditional kernel density estimation of a joint distribution. Then, we characterize the potential ampli?cation e?ects stemming from other large economies in each region—also with kernel density estimations—and the reaction of all other economies with para-metric assumptions. Importantly, each economy’s predictive density also depends on a set of observable country-speci?c factors. Finally, the use of sampling techniques allows us to aggregate individual countries’ densities into a world aggregate while preserving the non-i.i.d. nature of the global GDP growth distribution. Out-of-sample metrics con?rm the accuracy of our approach.
United States --- Macroeconomics --- Personal Finance -Taxation --- Hypothesis Testing --- General Aggregative Models: Forecasting and Simulation --- Prices, Business Fluctuations, and Cycles: Forecasting and Simulation --- Financial Crises --- Personal Income and Other Nonbusiness Taxes and Subsidies --- Economic & financial crises & disasters --- Public finance & taxation --- Global financial crisis of 2008-2009 --- Personal income tax --- Financial crises --- Taxes --- Global Financial Crisis, 2008-2009 --- Income tax
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