Interpolation and extrapolation, Applied Statistics

Assignment Help:

Meaning of Interpolation and Extrapolation

Interpolation is a method of estimating the most probable  missing figure on  the basis of given data under certain assumptions. On the other head if such figure is required   to be  estimated  for the future period   outside the series, it  is called extrapolation .In the words of Hirish. Interpolation  is the estimating of a most likely estimate under given conditions. The  technique  of estimating  a past  figure  is termed as interpolation , while estimating  for future is called  extrapolation, W.M. Harper has  defined  as interpolation consists in reading  a value  which  lies between  two extreme points. Extrapolation  means reading a values  that lies outside the two  extreme points. 


Related Discussions:- Interpolation and extrapolation

Find the probability that a lift will weigh, Lifts usually have signs indic...

Lifts usually have signs indicating their maximum capacity. Consider a sign in a lift that reads "maximum capacity 1400kg or 20 persons". Suppose that the weights of lift-users are

Calculation for discrete series or ungrouped data , Calculation for Discre...

Calculation for Discrete Series or Ungrouped Data The formula for computing mean is = where,          f  = fr

Calculate the seasonal indexes , The total number of overtime hours (in 100...

The total number of overtime hours (in 1000s) worked in a large steel mill was recorded for 16 quarters, as shown below. Year Quarter Overtime hour

Bienayme-chebyshev rule, This probability rule determined by the research o...

This probability rule determined by the research of the two mathematicians Bienayme' and Chebyshev, explains the variability of data about its mean when the distribution of the dat

Index number, Index Number Meaning and Definitions of Index Number ...

Index Number Meaning and Definitions of Index Number The index numbers are the special type of averages which are presented in percentages and computed on certain base.

Multiple correspondence analysis, Correspondence Analysis (CA) is a general...

Correspondence Analysis (CA) is a generalization of PCA to contingency tables. The factors of correspondence analysis give an orthogonal decomposi:ion of the Chi- square associated

Assumptions in anova, Assumptions in ANOVA The various populations f...

Assumptions in ANOVA The various populations from which the samples are drawn should be normal and have the same variance. The requirement of normality can be discarded if t

Types of sampling, Given a certain population there are various ways in whi...

Given a certain population there are various ways in which a sample may be drawn from it. The chart below illustrates this point: Figure 1 In  Judgem

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd