Direction of Trade Statistics, June 2018
Direction of Trade Statistics, June 2018

Author: International Monetary Fund. Statistics Dept.

Publisher: International Monetary Fund

Published: 2018-06-01

Total Pages: 680

ISBN-13: 1484354397

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This quarterly issue of Direction of Trade Statistics (DOTS) provides, for about 160 countries, tables with current data (or estimates) on the value of imports from and exports to their most important trading partners. The yearbook and quarterly issues of the DOTS publication provide tables with current reported data (or estimates) on the value of merchandise trade statistics (exports and imports) by partner country for all IMF members. In addition, similar summary tables for the world, industrial countries, and developing countries are included. The yearbook provides, for the most recent seven years, detailed trade data by country for approximately 184 countries, the world, and major areas. Other countries may report monthly data that are less current, or the information may be compiled and made available in quarterly or annual frequency. For some countries, the data reported to the United Nations Statistical Division also have been used. Estimation occurs if a reporting country does not report trade with its partners for a specific period. In order to provide guidance regarding the sources of the figures for individual countries, figures in the country, world, and area pages are shown with symbols to the right of the figure.

International Financial Statistics, June 2018
International Financial Statistics, June 2018

Author: International Monetary Fund. Statistics Dept.

Publisher: International Monetary Fund

Published: 2018-06-01

Total Pages: 1077

ISBN-13: 1484331486

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This paper discusses that Special Drawing Rights (SDRs) have been allocated by the IMF to members that are participants in the SDR Department (at the time of allocation) in proportion to their quotas in the IMF. Six allocations, totaling 21.4 billion SDR, were made by the IMF in 1970, 1971, 1972, 1979, 1980, and 1981. In addition, a general allocation of 161.2 billion SDR was made on August 28, 2009, and a special allocation of 21.5 billion SDR was made on September 9, 2009. The IMF cannot allocate SDRs to itself, but can receive them from members through various financial transactions and operations. Entities authorized to conduct transactions in SDRs are the IMF itself, participants in the SDR Department, and other prescribed holders. The SDR can be used for a wide range of transactions and operations, including for acquiring other members’ currencies, settling financial obligations, making donations, and extending loans.

International Financial Statistics, September 2018
International Financial Statistics, September 2018

Author: International Monetary Fund. Statistics Dept.

Publisher: International Monetary Fund

Published: 2018-09-04

Total Pages: 1097

ISBN-13: 1484354168

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This monthly issue of International Financial Statistics (IFS) contains country tables for most IMF members, as well as for Anguilla, Aruba, the Central African Economic and Monetary Community, Curaçao, the currency union of Curaçao and Sint Maarten, the Eastern Caribbean Currency Union, the euro area, Montserrat, the former Netherlands Antilles, Sint Maarten, the West African Economic Monetary Union, West Bank and Gaza, and some non-sovereign territorial entities for which statistics are provided internationally on a separate basis. Exchange rates in IFS are classified into three broad categories, reflecting the role of the authorities in determining the rates and/or the multiplicity of the exchange rates in a country. The three categories are the market rate, describing an exchange rate determined largely by market forces; the official rate, describing an exchange rate determined by the authorities—sometimes in a flexible manner; and the principal, secondary, or tertiary rate, for countries maintaining multiple exchange arrangements.

Practical Statistics for Data Scientists
Practical Statistics for Data Scientists

Author: Peter Bruce

Publisher: "O'Reilly Media, Inc."

Published: 2017-05-10

Total Pages: 322

ISBN-13: 1491952911

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Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data