Results 21 to 30 of about 37,567,741 (306)

Assessing pricing assumptions for weather index insurance in a changing climate

Climate Risk Management, 2014
Weather index insurance is being offered to low-income farmers in developing countries as an alternative to traditional multi-peril crop insurance. There is widespread support for index insurance as a means of climate change adaptation but whether or not
J.D. Daron, D.A. Stainforth
doaj   +1 more source

Analysis of Non-Stationary Modulated Time Series with Applications to Oceanographic Surface Flow Measurements [PDF]

, 2017
We propose a new class of univariate non-stationary time series models, using the framework of modulated time series, which is appropriate for the analysis of rapidly evolving time series as well as time series observations with missing data.
Guillaumin, AP, Early, JJ, Lilly, JM, Sykulski, Adam M., Jonathan M. Lilly, Early, Jeffrey J., Jeffrey J. Early, Early, Jeffrey J, Guillaumin, Arthur P, Lilly, Jonathan M, Sykulski, Adam M, Olhede, Sofia C., Olhede, Sofia C, Arthur P. Guillaumin, Sykulski, AM, Lilly, Jonathan M., Adam M. Sykulski, Guillaumin, Arthur P., Olhede, SC, Sofia C. Olhede   +19 more
core   +1 more source

Escape from model-land

Economics: Journal Articles, 2019
Both mathematical modelling and simulation methods in general have contributed greatly to understanding, insight and forecasting in many fields including macroeconomics.
Thompson Erica L., Smith Leonard A.
doaj   +1 more source

findstructureintime/Time-Series-Analysis v0.0.1

, 2020
This is the github repository containing the four Matlab code modules with sample examples introduced in the paper, Finding Structure in Time: Visualizing and Analyzing Behavioral Time ...
Tian Linger Xu
core   +1 more source

Polynomial Regressions and Nonsense Inference

Econometrics, 2013
Polynomial specifications are widely used, not only in applied economics, but also in epidemiology, physics, political analysis and psychology, just to mention a few examples.
Daniel Ventosa-Santaulària, Carlos Vladimir Rodríguez-Caballero   +1 more
doaj   +1 more source

Time series data analysis under indeterminacy

Journal of Big Data, 2023
The existing semi-average method under classical statistics is applied to measure the trend in the time series data. The existing semi-average method cannot be applied when the time series data is in intervals or imprecise.
Muhammad Aslam
doaj   +1 more source

Investor Sentiment Measurement and Time Series Analysis [PDF]

SHS Web of Conferences, 2023
Investor sentiment is one of the destabilizing factors in the stock market. In the past, some scholars have proposed models for the measurement of emotions. On this basis, this paper selects 9 factors (closed-end fund discount rate, trading volume of the
Bai Yuchen
doaj   +1 more source

Ocean/Atmosphere Time Series Analysis

, 2022
This package contains all necessary files for the course Ocean/Atmosphere Time Series Analysis, an introduction to data and time series analysis for graduate students in oceanography, atmospheric science, and climate. This material is generally taught
Jonathan M. Lilly
core   +1 more source

findstructureintime/Time-Series-Analysis: First release of Time-Series-Analysis package

, 2020
This code package contains four Matlab code modules with sample examples introduced in the paper, Finding Structure in Time: Visualizing and Analyzing Behavioral Time Series.
Tian Linger Xu
core   +1 more source

Estimation of missing data in a geophysical series of precipitation

, 2021
The analysis of dynamic systems is a topic of great interest in the basic sciences since it allows direct inference of the behavior of different systems. The study of physical phenomena provides large databases that, if recorded at regular time intervals,
GALLARDO PÉREZ, HENRY DE JESÚS, Vergel Ortega, Mawency, Rojas Suárez, Jhan Piero   +2 more
core   +1 more source