Podporiť čarovnú poličku je možné prostredníctvom zobrazovania reklám. Zvážte prosím možnosť vypnutia adblocku a pomôžte nám prevádzkovať túto službu aj naďalej.
Vaša podpora je pre nás veľmi dôležitá a vopred vám ďakujeme za prejavenú ochotu.
Predať knihy
Statistical Methods in the Atmospheric Sciences EN
1x
Statistical Methods in the Atmospheric Sciences EN Book: Statistical Methods in the Atmospheric Sciences EN
4 stars - 1
This revised text introduces and explains the statistical methods used to describe, analyze, test and forecast atmospheric data. It will be useful to scientists, students, and other professionals who seek to make sense of the scientific literature in meteorology, climatology, or other geophysical disciplines, or to understand and communicate what their atmospheric data sets have to say. The chapters cover exploratory data analysis, probability distributions, hypothesis testing, statistical weather forecasting, forecast verification, time series analysis and multivariate data analysis. Worked examples, exercises, and illustrations facilitate understanding of the material; an extensive and current list of references allows the reader to pursue topics in greater depth.
  1. Knižky v cudzom jazyku

Statistical Methods in the Atmospheric Sciences EN

Daniel S. Wilks

Statistical Methods in the Atmospheric Sciences EN

Daniel S. Wilks

Na túto knižku aktuálne nikto nečaká, máš záujem ty?

Aktuálne nikto neponúka túto knihu.

Pozrieť cenu novej knihy na
martinus.sk artforum.sk bux.sk heureka.sk

Chcem predať túto knihu

Chcem si kúpiť, pošlite mi notifikáciu o novej ponuke

Doplnkové info

Popis knihy

This revised text introduces and explains the statistical methods used to describe, analyze, test and forecast atmospheric data. It will be useful to scientists, students, and other professionals who seek to make sense of the scientific literature in meteorology, climatology, or other geophysical disciplines, or to understand and communicate what their atmospheric data sets have to say. The chapters cover exploratory data analysis, probability distributions, hypothesis testing, statistical weather forecasting, forecast verification, time series analysis and multivariate data analysis. Worked examples, exercises, and illustrations facilitate understanding of the material; an extensive and current list of references allows the reader to pursue topics in greater depth.

Našli ste chybu?