advantages of sampling methods in mining pdf
Surface Mining Methods and Equipment
appropriate mining method is selected based on technical, economic, and environmentally accountable considerations. The first step in selecting the most appropriate mining method is to compare the economic efficiency of extraction of the deposit by surface and underground mining methods . This section reviews surface mining methods and practices. ...
Coal Mining Methods
Advantages of Longwall Mining Longwall mining is a very efficient coal producing technique. Longwall productivity is potentially higher than that of roomandpillar mining, because longwall mining is basically a continuous operation requiring fewer workers and allowing a high rate of production to be sustained. The amount of coal recovered is also...
The advantage and disadvantage of implicitly stratified ...
One advantage of ESS is that it permits different sampling fractions to be applied to different subdomains of the population (disproportionate stratified sampling), if the strata are created to reflect the subdomains. But if disproportionate sampling is not desired, this advantage does not apply and it is less clear whether ESS should be used....
Probability Sampling, Advantages, Disadvantages | Mathstopia
The way of sampling in which each item in the population has an equal chance (this chance is greater than zero) for getting selected is called probability sampling. Probability Sampling uses lesser reliance over the human judgment which makes the overall process free from over biasness....
Surface Coal Mining Methods in Australia InTech
Mining Methods. 8 2009). Figure 6 illustrates a typical dragline while removing the material in one of the NSW mines. The following are some of the advantages of using a dragline: Direct cast (excavate and transport), Low operating cost, and Handles hard digging....
Ore Sampling Methods: Good Proper
Ore Sampling Methods: Good Proper. The cone is started on the floor, as shown in Fig. 3, but without any rod to determine the position of the center. The operator in charge of the work, in dropping his shovelfuls of ore on the top of the cone, does it in such a manner as to draw the center of the cone imperceptibly in a certain direction,......
14 Cluster Sampling Advantages and Disadvantages ...
Aug 24, 2018· 5. It offers the advantages of random sampling and stratified sampling. What makes cluster sampling such a beneficial method is the fact that it includes all the benefits of randomized sampling and stratified sampling in its processes. This helps to reduce the potential for human bias within the information collected....
Ensemble Methods in Environmental Data Mining | IntechOpen
Advantages of ensemblebased environmental data mining Some of the advantages of environmental data mining are given below: Prediction of parameters expected based on other parameters or under different cases in environmental studies, for example, prediction of rainfall [ 20 ], climate change [ 16, 17, 18 ] species richness/diversity [ 24, 25 ], and atmospheric parameters [ 28 ]....
Probability Sampling: Definition,Types, Advantages and ...
Jun 26, 2015· Each probability sampling method has its own unique advantages and disadvantages. Advantages. Cluster sampling: convenience and ease of use. Simple random sampling: creates samples that are highly representative of the population. Stratified random sampling: creates strata or layers that are highly representative of strata or layers in the population....
THE STATUS OF SAMPLING PRACTICE IN THE GOLD MINING ...
The status of sampling practices in the Gold Mining Industry in Africa was determined as an initial step in a process to standardise sampling practices in the Mining Industry. Several mines, metallurgical plants and laboratories were visited and the status of equipment, standards and procedures were rated to ....
Data Preprocessing Data Preprocessing Tasks
Systematic Sampling Select instances from an ordered sampling window. Equalprobability method: First, select an element from the list at random. Then, every th element in the window is selected, where, the sampling interval, is: = 17 Risk of interaction with unsuspected regularity in the data....
The Advantages of Open Pit Mining | Sciencing
Mar 13, 2018· Open pit mining does offer some advantages over traditional deep shaft mining. Pit mining is more cost effective than shaft mining because more ore can be extracted and more quickly. The working conditions are safer for the miners because there is no risk of cave in or toxic gas. Open pit mining is the preferred ......
Statistics Sampling methods Tutorialspoint
Statistics Sampling methods. Sampling methods are the ways to choose people from the population to be considered in a sample survey. Samples can be divided based on following criteria. Probability samples In such samples, each population element has a known probability or chance of being chosen for the sample. Nonprobability samples In......
Audit and Assurance: Advantages of Statistical Sampling in ...
Under some audit circumstances, statistical sampling methods may not be appropriate. The auditor should not attempt to use statistical sampling when another approach is either necessary or will provide satisfactory information in less time or with less effort, for instance when exact accuracy is required or in case of legal requirements etc....
Stratified Random Sampling: Advantages and Disadvantages
Stratified random sampling is a method of sampling that involves the division of a population into smaller groups known as strata....
17 Advantages and Disadvantages of Random Sampling ...
Poor research methods will always result in poor data. The advantages and disadvantages of random sampling show that it can be quite effective when it is performed correctly. Random sampling removes an unconscious bias while creating data that can be analyzed to benefit the general demographic or population group being studied....
Mining and Mining Methods. Learning(outcomes:( 1. Contrast surface and underground mining. 2. Identify a mining company's goals with each of the following: exploration, extraction, concentration, ....