Statistical Models for Predicting Sulfate Concentration in Drinking Water, Punjab, Pakistan

Thesis Info

Author

Amna Naeem

Department

Department of Statistics, QAU

Program

Mphil

Institute

Quaid-i-Azam University

Institute Type

Public

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2016

Thesis Completion Status

Completed

Page

xii, 58

Subject

Statistics

Language

English

Other

Call No: Diss / M. Phil / STAT / 279

Added

2021-02-17 19:49:13

Modified

2023-02-19 12:33:56

ARI ID

1676715342716

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Title	Author	Supervisor	Degree	Institute
Statistical Models for Predicting Sulfate Concentration in Drinking Water, Punjab, Pakistan	Amna Naeem		Mphil	Quaid-i-Azam University, Islamabad, Pakistan
Spatial Analysis of Sulphate Concentration in Pure Drinking Water	Naima Mubarak		Mphil	Quaid-i-Azam University, Islamabad, Pakistan
Drinking Water Quality and its Implications for Human Health in Punjab, Pakistan	Kausar, Samina		PhD	University of Agriculture, Faisalabad, Pakistan
Nitrate Contamination in Drinking Water Vegetables Grown in Punjab, Pakistan.	Mubashir, Muhammad		PhD	Bahauddin Zakariya University, Multan, Pakistan
Measurement of Radon Concentration of Drinking Water in District Attock	Tahir Mehmood Bhatti			Riphah International University, Islamabad, Pakistan
Spatial Interpolation and Optimized Sampling Design of Sodium Concentration in Drinking Water	Erum Zahid		Mphil	Quaid-i-Azam University, Islamabad, Pakistan
Comparison of Spatial and Non-Spatial Regression Models for Sulphate Concentration in Ground Water	Haider Ali	Ijaz Hussain	Mphil	Quaid-i-Azam University, Islamabad, Pakistan
Comparison Analysis of Radon Concentration in Drinking Water of Margalla and Murree Region	Sumiya Tariq	Zafar Wazir	Mphil	Riphah International University, Islamabad, Pakistan
Comparison Analysis of Radon Concentration in Drinking Water of Sohawa and Dina, District Jhelum	Tanveer Hussain	Zafar Wazir	Mphil	Riphah International University, Islamabad, Pakistan
Statistical Methods for Analyzing Quality of Bottled Water in Pakistan	Rabia Hussain		Mphil	Quaid-i-Azam University, Islamabad, Pakistan
Impact of Safe Drinking Water and Sanitation on Water Born Diseases in Pakistan	Junai Zahid, Rana	Abid Q Suleri	Mphil	Riphah International University, Islamabad, Pakistan
Household Willing to Pay for Safe Drinking Water	Mehreen Aftab	Usman Mustafa		Allama Iqbal Open University, Islamabad, Pakistan
Impact of Availability &Amp; Non Availability of Clean Drinking Water in Rural Areas of Faisalabad District, Punjab Pakistan	Ali Asghar Khan Niazi	Fawad Asif	Mphil	Riphah International University, Faisalabad, Pakistan
Statistical Modeling for Determining the Risk Factors of Hepatitis C in Punjab, Pakistan	Ghias, Muhammad		PhD	Government College, Lahore, Pakistan
Determination of Naturally occurring radioactive nuclides in drinking water of different areas of Punjab,Pakistan and associated risk assessment	Bareera Maryam	Maliha Asma	MS	International Islamic University, Islamabad, Pakistan
Statistical Aspects of Epidemiology of Breast Cancer in Punjab, Pakistan	Gilani, Ghausia Masood		PhD	University of the Punjab, Lahore, Pakistan
Statistical Modeling For Determining The Risk Factors Of Hepatitis Cin Punjab Pakistan	Muhammad Ghias		PhD	Government College University, Lahore, Pakistan
Nitrate and Fluoride Contamination in Soil and Drinking Water in District Mardan, Pakistan			PhD	University of Peshawar, Peshawar, Pakistan
Statistical Modeling of Child Mortality in Pakistan Using Logistic and Log-Linear Models	Humaira Nasim	Alamgir Khalil	Mphil	Allama Iqbal Open University, Islamabad, Pakistan
Determination and Remediation of High Risk Contaminants in Drinking Water of North, South and Central Punjab	Saiqa Imran	Nasima Arshad		Allama Iqbal Open University, Islamabad, Pakistan
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Statistical Models for Predicting Sulfate Concentration in Drinking Water, Punjab, Pakistan

Author

Department

Program

Institute

Institute Type

City

Province

Country

Thesis Completing Year

Thesis Completion Status

Page

Subject

Language

Other

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