query: Trend & Seasonality Determination in Time Series without looking at Graph
positive_passages.docid: 29223
positive_passages.text: Period detection of a generic time series
negative_passages.docid: 34774
negative_passages.text: cross-correlation with time lag
negative_passages.docid: 94509
negative_passages.text: Statistical methods for data where only a minimum/maximum value is known
negative_passages.docid: 50409
negative_passages.text: Data has two trends; how to extract independent trendlines?
negative_passages.docid: 37141
negative_passages.text: Cross-validation for timeseries data with regression
negative_passages.docid: 81515
negative_passages.text: Method for generating correlated non-normal data
negative_passages.docid: 73956
negative_passages.text: How to statistically compare two time series?
negative_passages.docid: 116586
negative_passages.text: How to use Pearson correlation correctly with time series
negative_passages.docid: 39311
negative_passages.text: Generating data to follow given variogram
negative_passages.docid: 28792
negative_passages.text: Storing time-series data, relational or non?
negative_passages.docid: 15995
negative_passages.text: durbinWatsonTest() in R for non time-series data
negative_passages.docid: 12652
negative_passages.text: How to apply Neural Network to time series forecasting?
negative_passages.docid: 140081
negative_passages.text: Fast and memory efficient moving average calculation
negative_passages.docid: 40835
negative_passages.text: Can stationary time series contain regulary cycles and periods with different fluctuations
negative_passages.docid: 7518
negative_passages.text: VAR or VECM for a mix of stationary and nonstationary variables
negative_passages.docid: 91489
negative_passages.text: How to check if data constitute a time series with simple moving average method?
negative_passages.docid: 109905
negative_passages.text: Finding moving average from data points in Python