Monthly Bulletin of Statistics PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Monthly Bulletin of Statistics PDF full book. Access full book title Monthly Bulletin of Statistics by Statistical Office of the United Nations. Download full books in PDF and EPUB format.
Author: Statistical Office of the United Nations
Publisher:
ISBN: 9780598960368
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
Author: Statistical Office of the United Nations
Publisher:
ISBN: 9780598960368
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
Author: United Nations. Statistical Office
Publisher:
ISBN:
Category : Economic history
Languages : fr
Pages : 994
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 267
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 924
Get Book Here
Book Description
Author: United Nations. Statistical Office
Publisher:
ISBN:
Category : Statistical services
Languages : en
Pages : 444
Get Book Here
Book Description
Author:
Publisher:
ISBN: 9789210551878
Category : Economic history
Languages : en
Pages : 0
Get Book Here
Book Description
Author: United Nations. Statistical Office
Publisher: New York : [s.n.]
ISBN:
Category : Economic history 1945- Statistics
Languages : en
Pages : 194
Get Book Here
Book Description
Author: United Nations Publications
Publisher:
ISBN: 9789211483161
Category : Political Science
Languages : en
Pages : 0
Get Book Here
Book Description
The United Nations population estimates and projections form a comprehensive set of demographic data to assess population trends at the global, regional and national levels. They are used in the calculation of many of the key development indicators commonly used by the United Nations system, including for more than one third of the indicators used to monitor progress towards the achievement of the Sustainable Development Goals. The 2019 revision of the World Population Prospects is the twenty-sixth edition of the official United Nations population estimates and projections, which have been prepared since 1951 by the Population Division of the Department of Economic and Social Affairs. The 2019 revision presents population estimates from 1950 until the present for 235 countries or areas, which have been developed through country-specific analyses of historical demographic trends. It builds on previous revisions by incorporating additional results from the 2010 and 2020 rounds of national population censuses as well as information from vital registration and recent nationally representative household sample surveys. The 2019 revision also presents population projections to the year 2100 that reflect a range of plausible outcomes at the global, regional and country levels. These Highlights summarise key population trends described by the estimates and projections presented in World Population Prospects 2019.
Author: Steven P. Millard
Publisher: Springer Science & Business Media
ISBN: 1461484561
Category : Computers
Languages : en
Pages : 305
Get Book Here
Book Description
This book describes EnvStats, a new comprehensive R package for environmental statistics and the successor to the S-PLUS module EnvironmentalStats for S-PLUS (first released in 1997). EnvStats and R provide an open-source set of powerful functions for performing graphical and statistical analyses of environmental data, bringing major environmental statistical methods found in the literature and regulatory guidance documents into one statistical package, along with an extensive hypertext help system that explains what these methods do, how to use these methods, and where to find them in the environmental statistics literature. EnvStats also includes numerous built-in data sets from regulatory guidance documents and the environmental statistics literature. This book shows how to use EnvStats and R to easily: * graphically display environmental data * plot probability distributions * estimate distribution parameters and construct confidence intervals on the original scale for commonly used distributions such as the lognormal and gamma, as well as do this nonparametrically * estimate and construct confidence intervals for distribution percentiles or do this nonparametrically (e.g., to compare to an environmental protection standard) * perform and plot the results of goodness-of-fit tests * compute optimal Box-Cox data transformations * compute prediction limits and simultaneous prediction limits (e.g., to assess compliance at multiple sites for multiple constituents) * perform nonparametric estimation and test for seasonal trend (even in the presence of correlated observations) * perform power and sample size computations and create companion plots for sampling designs based on confidence intervals, hypothesis tests, prediction intervals, and tolerance intervals * deal with non-detect (censored) data * perform Monte Carlo simulation and probabilistic risk assessment * reproduce specific examples in EPA guidance documents EnvStats combined with other R packages (e.g., for spatial analysis) provides the environmental scientist, statistician, researcher, and technician with tools to “get the job done!”
Author:
Publisher:
ISBN: 9789216040406
Category :
Languages : en
Pages :
Get Book Here
Book Description
