Noun:

বর্গফল, বর্গবস্তু, চতুর্ধার, সমচতুর্ভুজ, চক, চতুষ্ক, চতুষ্কোণ, বর্গ, বর্গক্ষেত্র,

Verb:

প্রতিশোধ নেত্তয়া, মানানসই হত্তয়া, উপযোগী হত্তয়া, খাপ খাত্তয়া, ঘুস দেত্তয়া, ঘুষ দেত্তয়া, সমান করা, নিয়ন্ত্রণ করা, সমচতুর্ভুজ করা,

Adjective:

সম্পূর্ণ, সমান-সমান, সত্, ন্যায়সঙ্গত, সত্য, খাঁটি, মানানসই, উপযোগী, যথাযথ, বর্গীয়, বর্গসম, বেশ চত্তড়া, সমকোণী, চৌকা, সমচতুর্ভুজ, চতুষ্কোণ,

squares's Usage Examples:

The method of least squares is a standard approach in regression analysis to approximate the solution of overdetermined systems (sets of equations in.

Linear least squares methods include mainly: Ordinary least squares Weighted least squares Generalized least squares Maximum likelihood estimation.

In statistics, ordinary least squares (OLS) is a type of linear least squares method for estimating the unknown parameters in a linear regression model.

Larger spherical squares have larger angles.

In hyperbolic geometry, squares with right angles do not exist.

Rather, squares in hyperbolic geometry.

Most squares are hardscapes suitable for open markets, concerts, political rallies,.

magic constant we have semimagic squares (sometimes called orthomagic squares).

The mathematical study of magic squares typically deals with its construction.

For example, the method of ordinary least squares computes the unique line (or hyperplane) that minimizes the sum of squared.

perfect squares.

Three squares are not sufficient for numbers of the form 4k(8m + 7).

A positive integer can be represented as a sum of two squares precisely.

variability of the data set can be measured with two sums of squares formulas: The total sum of squares (proportional to the variance of the data): S S tot =.

chessboard is usually square in shape, with an alternating pattern of squares in two colours.

indicating how many adjacent squares contain mines; if no mines are adjacent, the square becomes blank, and all adjacent squares will be recursively revealed.

side opposite the right angle) is equal to the sum of the areas of the squares on the other two sides.

λ(k) is equal to the sum of the squares over the dataset associated with each component k, that is, λ(k) = ∑i tk2(i).

The partition of sums of squares is a concept that permeates much of inferential statistics and descriptive statistics.

Linear least squares (LLS) is the least squares approximation of linear functions to data.

most notably limited information maximum likelihood and two-stage least squares.

Synonyms:

rectangle; foursquare; quadrate; regular polygon;

Antonyms:

outfield; infield; irregular; illegitimate; unlawfulness;