Nobody downloaded yet

Statistical Models for Forecasting milk production - Statistics Project Example

Comments (0) Cite this document
In the paper “Statistical Models for Forecasting milk production” the author analyzes dairy farming sector, which faces a number of technical, economic and institutional problems in milk production, processing and marketing. These constraints affect the ability of the sector to participate and compete in the domestic and regional markets…
Download full paperFile format: .doc, available for editing
GRAB THE BEST PAPER93.3% of users find it useful
Statistical Models for Forecasting milk production
Read TextPreview

Extract of sample
"Statistical Models for Forecasting milk production"

Download file to see previous pages In time series analysis, an autoregressive integrated moving average (ARIMA) model is a generalization of an autoregressive moving average (ARMA) model. In theory, the most general class of models for forecasting a time series are stationary and can be made stationary by transformations such as differencing and logging. ARIMA models form an important part of the Box-Jenkins approach to time-series modeling. A non-seasonal ARIMA model is classified as an ARIMA (p, d, q) model, where: p is the number of autoregressive terms, d is the number of non-seasonal differences and q is the number of moving average terms.
At the identification stage one or more models are tentatively chosen that seem to provide statistically adequate representations of the available data. The parameters are estimated by modified least squares or the maximum likelihood techniques appropriate to time series data.
For adequacy of the model, the residuals are examined from the fitted model and alternative models are considered. Different models can be obtained for various combinations of AR and MA individually and collectively. The satisfactory model is considered which adequately fits the data.
Method selection
The best model is obtained on the basis of minimum value of Akaike Information Criteria (AIC) which is given by:
                               AIC = -2 log L + 2m
                                               Where m = p + q
                                                               L is the likelihood function
p& q are orders of Auto-Regressive and Moving Average models respectively - number of parameters, Akaike (1974) ...Download file to see next pagesRead More
Cite this document
  • APA
  • MLA
(“Statistical Models for Forecasting milk production Statistics Project”, n.d.)
Statistical Models for Forecasting milk production Statistics Project. Retrieved from https://studentshare.org/statistics/1687726-statistical-models-for-forecasting-milk-production
(Statistical Models for Forecasting Milk Production Statistics Project)
Statistical Models for Forecasting Milk Production Statistics Project. https://studentshare.org/statistics/1687726-statistical-models-for-forecasting-milk-production.
“Statistical Models for Forecasting Milk Production Statistics Project”, n.d. https://studentshare.org/statistics/1687726-statistical-models-for-forecasting-milk-production.
  • Cited: 0 times
Comments (0)
Click to create a comment or rate a document
Statistical analysis of data
This data is a time series data where the emissions of pollutants (in thousands of tonnes) have been recorded from 2000 to 2009 from various constructional activities. Pollutants have been categorized into four categories- Greenhouse gases, Acid rain precursors, heavy
2 Pages(500 words)Statistics Project
Statistical regression
There are many social and economic indicators that describe the national growth of a country. Such variables are the unemployment rate, GDP, Inflation rates and disposable household expenditure to name a few.
3 Pages(750 words)Statistics Project
Statistical Mathematics
Figure 1 illustrates histogram of daytime accidents. Visual inspection shows that the frequency distribution does not have a bell curve shape. The histogram does not have a peak and frequencies are not
4 Pages(1000 words)Statistics Project
Statistical Analyses of Research Question
Social control denotes a form of regulation exercised by the authorities on groups of people or individuals to make them conform to a specific set of rules or social-legal parameters. In essence, social control is the key aspect behind
16 Pages(4000 words)Statistics Project
Statistical Significance of the Parameters
Monthly average number of check-ins has the positive impact on the manhours such that for 1 extra man hour, 1.80 check-in are required. The coefficient for weekly hours of service desk opreration is 0.59 which causes an additional manhour. The common use area has a negative impact on the manhours as every 21.48 square feet will reduce one manhour.
12 Pages(3000 words)Statistics Project
UNDERGRAD LEVEL - Econometric/Statistical Analysis
Here two scatter diagram can be used to find out what kind of correlations exist (I) between output per worker in the mining industry and the number of working hours and (II) between output per worker in the mining
8 Pages(2000 words)Statistics Project
Interpretation of Statistical Tables
Data were statistically treated using factor analysis.1 Results of the study are discussed in the following paragraphs in which four statistical tables were interpreted in detail. The
2 Pages(500 words)Statistics Project
Simple moving average and weighted moving average is used when moderate trend is present in the data, exponential smoothing is used when a weak or no trend is present and the time series regression is used to
4 Pages(1000 words)Statistics Project
Statistical critique
Generally in time use researches, participants are often requested to keep track of their daily activities and then record them in their own words. On the other hand,
4 Pages(1000 words)Statistics Project
Analysis of statistical status of bank based in uae
ociated with the latter mentioned institution and as such pave a hypothetical analysis of a full years return on stock prices given the figures we establish during the mean-variance optimized results. According to Bloomberg international (bloomberg.com/apps/quote? ticker….)
10 Pages(2500 words)Statistics Project
sponsored ads
We use cookies to create the best experience for you. Keep on browsing if you are OK with that, or find out how to manage cookies.
Let us find you another Statistics Project on topic Statistical Models for Forecasting milk production for FREE!
logo footer
Contact us:
Contact Us Now
FREE Mobile Apps:
  • StudentShare App Store
  • StudentShare Google play
  • About StudentShare
  • Testimonials
  • FAQ
  • Blog
  • Free Essays
  • New Essays
  • Essays
  • Miscellaneous
  • The Newest Essay Topics
  • Index samples by all dates
Join us:
Contact Us