Sentences with phrase «result of a random process»

The fact that we can bounce seismic waves off rock formations, record a series of numbers and reconstruct not only the structural geology, but glean information about lithology and fluid content... just couldn't be the result of a random process.

Also, even Marcott can not exactly reproduce his output because it's the result of a random process, so it'll be a little different each time.

NZ Willy says: «even Marcott can not exactly reproduce his output because it's the result of a random process,, so it'll be a little different each time.»

A weakness of the correlational approach used here is the degree to which this pattern of results could occur as a result of random processes such as genetic drift (fluctuations in allele frequency due to chance; Keinan et al., 2007).

Not exact matches

In an evolutionary worldview, we are the result of random chance processes.

You laugh at the Supernatural, even though scientists have calculated the odds of life forming by natural processes to be estimated less than 1 chance in 10 to the 40, ooo power — But you find nothing wrong with believing that billions of years full of random mutations would result in the impossible.

Can undirected, random processes result in complex life forms or is there evidence to support the notion of a Creator?

If you are the result of chance random processes then so is your brain.

If the earth is result of chance random processes, then so are you.

These are in part the result of varying regional ancestral contributions, but also of a random process of genetic drift.

Gene moonlighting can occur merely through changes in expression, which may result from as little as a single mutation; it does not require the meandering process of random alteration and selection implied by the duplication and neofunctionalization model.

The canvases — the random outcomes of a self - generating process which the artist sets in motion by placing the linen in contact with the ink and before she stands aside to allow an uncontrolled result — resonate little in and of themselves until their titles associate them with the experience of light, sound, touch and smell.

General Introduction Two Main Goals Identifying Patterns in Time Series Data Systematic pattern and random noise Two general aspects of time series patterns Trend Analysis Analysis of Seasonality ARIMA (Box & Jenkins) and Autocorrelations General Introduction Two Common Processes ARIMA Methodology Identification Phase Parameter Estimation Evaluation of the Model Interrupted Time Series Exponential Smoothing General Introduction Simple Exponential Smoothing Choosing the Best Value for Parameter a (alpha) Indices of Lack of Fit (Error) Seasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Time Series

If individuals are confined to climatically unsuitable areas, the likelihood of population decline is enhanced, resulting in high likelihood of extinction if population size falls below critical values, from processes such as random fluctuations in population size (Maurer, 1999) or Allee effects (Stephens et al., 1999).

Pete's confusion is unrelated to the concept of i.i.d., though he does seem to think that the small perturbations that occur during a coin flip, a random process, somehow serves as an apt analogy to initial conditions (and the resulting long - term changes) in the climate / weather system.

8Bet's provably fair model is based on the Bitcoin blockchain, and the entire process of drawing results is open and transparent, with open - source code that anyone can view and follow step by step to confirm that the results were entirely independent, random, and impossible to influence by any party.

Instead, you may have found that it can be a random and murky process with wildly varying results depending on the unique set of circumstances at the time... at least that has been my experience working in real estate over the past two decades.