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  2. SQL injection - Wikipedia

    en.wikipedia.org/wiki/SQL_injection

    A classification of SQL injection attacking vector as of 2010. In computing, SQL injection is a code injection technique used to attack data-driven applications, in which malicious SQL statements are inserted into an entry field for execution (e.g. to dump the database contents to the attacker). [1] [2] SQL injection must exploit a security ...

  3. Linear trend estimation - Wikipedia

    en.wikipedia.org/wiki/Linear_trend_estimation

    Linear trend estimation. Linear trend estimation is a statistical technique used to analyze data patterns. Data patterns, or trends, occur when the information gathered "tends" to increase or decrease over time. Linear trend estimation essentially creates a straight line on a graph of data that models the general direction that the data is heading.

  4. Trend analysis - Wikipedia

    en.wikipedia.org/wiki/Trend_analysis

    Trend analysis is the widespread practice of collecting information and attempting to spot a pattern. In some fields of study, the term has more formally defined meanings. [1] [2] [3] Although trend analysis is often used to predict future events, it could be used to estimate uncertain events in the past, such as how many ancient kings probably ...

  5. Trend-stationary process - Wikipedia

    en.wikipedia.org/wiki/Trend-stationary_process

    Trend-stationary process. In the statistical analysis of time series, a trend-stationary process is a stochastic process from which an underlying trend (function solely of time) can be removed, leaving a stationary process. [1] The trend does not have to be linear.

  6. Log-linear analysis - Wikipedia

    en.wikipedia.org/wiki/Log-linear_analysis

    Log-linear analysis. Log-linear analysis is a technique used in statistics to examine the relationship between more than two categorical variables. The technique is used for both hypothesis testing and model building. In both these uses, models are tested to find the most parsimonious (i.e., least complex) model that best accounts for the ...

  7. Decomposition of time series - Wikipedia

    en.wikipedia.org/wiki/Decomposition_of_time_series

    An additive model would be used when the variations around the trend do not vary with the level of the time series whereas a multiplicative model would be appropriate if the trend is proportional to the level of the time series. Sometimes the trend and cyclical components are grouped into one, called the trend-cycle component.

  8. A.I. can radically lengthen your lifespan, says futurist Ray ...

    www.aol.com/finance/radically-lengthen-lifespan...

    The Singularity is Nearer When We Merge with AI by Ray Kurzweil. The 2030s will bring another health revolution, which my book on health (coauthored with Terry Grossman, MD) calls the third bridge ...

  9. Regression-kriging - Wikipedia

    en.wikipedia.org/wiki/Regression-kriging

    Regression-kriging is an implementation of the best linear unbiased predictor (BLUP) for spatial data, i.e. the best linear interpolator assuming the universal model of spatial variation. Matheron (1969) proposed that a value of a target variable at some location can be modeled as a sum of the deterministic and stochastic components: [2] which ...