كتاب Design and Analysis of Experiments - 5th Edition - صفحة 2
منتدى هندسة الإنتاج والتصميم الميكانيكى
بسم الله الرحمن الرحيم

أهلا وسهلاً بك زائرنا الكريم
نتمنى أن تقضوا معنا أفضل الأوقات
وتسعدونا بالأراء والمساهمات
إذا كنت أحد أعضائنا يرجى تسجيل الدخول
أو وإذا كانت هذة زيارتك الأولى للمنتدى فنتشرف بإنضمامك لأسرتنا
وهذا شرح لطريقة التسجيل فى المنتدى بالفيديو :
https://www.youtube.com/watch?v=aw8GR3QlY6M
وشرح لطريقة التنزيل من المنتدى بالفيديو:
https://www.youtube.com/watch?v=Lf2hNxCN1cw
https://www.youtube.com/watch?v=PRIGVoN7CPY
إذا واجهتك مشاكل فى التسجيل أو تفعيل حسابك
وإذا نسيت بيانات الدخول للمنتدى
يرجى مراسلتنا على البريد الإلكترونى التالى :

DEABS2010@YAHOO.COM


 
الرئيسيةالبوابةاليوميةس .و .جبحـثالتسجيلدخولحملة فيد واستفيدجروب المنتدى
آخر المواضيع
الموضوع
تاريخ ارسال المشاركة
بواسطة
اسطوانة تعليم برنامج كاتيا Catia v5 tutorial Magnitude
برنامج catia
حملة فيد وإستفيد من منتدى هندسة الإنتاج والتصميم الميكانيكى
موضوع مجمع لكتب التصنيع وتشغيل المعادن والإنتاج
4 اسطوانات لتعليم عمليات الخراطة
مجموعة محاضرات عن العناصر المحددة باللغة العربية - (FEM) Arabic Lectures
37 محاضرة فيديو عن Engineering Mechanics
ارجو المساعدة , مشكلة في تنصيب برنامج Ansys
كتاب Theory of Machines and Mechanism - Joseph Edward
كتاب شرح ansys باللغة العربية
اليوم في 1:27 pm
اليوم في 1:21 pm
الجمعة 09 ديسمبر 2016, 6:21 pm
الجمعة 09 ديسمبر 2016, 4:53 pm
الجمعة 09 ديسمبر 2016, 4:52 pm
الخميس 08 ديسمبر 2016, 10:49 pm
الخميس 08 ديسمبر 2016, 10:48 pm
الخميس 08 ديسمبر 2016, 10:48 pm
الخميس 08 ديسمبر 2016, 10:43 pm
الخميس 08 ديسمبر 2016, 9:51 pm
7acan
7acan
Admin
Admin
Admin
Admin
Admin
Admin
Admin
Admin
شاطر | .
 

 كتاب Design and Analysis of Experiments - 5th Edition

استعرض الموضوع السابق استعرض الموضوع التالي اذهب الى الأسفل 
انتقل الى الصفحة : الصفحة السابقة  1, 2
كاتب الموضوعرسالة
Admin
مدير المنتدى
مدير المنتدى


عدد المساهمات : 14273
التقييم : 22960
تاريخ التسجيل : 01/07/2009
العمر : 28
الدولة : مصر
العمل : مدير منتدى هندسة الإنتاج والتصميم الميكانيكى
الجامعة : المنوفية

مُساهمةموضوع: كتاب Design and Analysis of Experiments - 5th Edition   السبت 24 مارس 2012, 10:39 pm

تذكير بمساهمة فاتح الموضوع :

أخوانى فى الله
أحضرت لكم كتاب

تصميم وتحليل التجارب الإصدار الخامس
Design and Analysis of Experiments
5th Edition - Douglas C

ويتناول الموضوعات الأتية :

Principles and Techniques
Design: Basic Principles and Techniques
The Art of Experimentation
Replication
Blocking
Randomization
Analysis: Basic Principles and Techniques
Planning Experiments
Introduction
A Checklist for Planning Experiments
A Real Experiment—Cotton-Spinning Experiment
Some Standard Experimental Designs
Completely Randomized Designs
Block Designs
Designs with Two or More Blocking Factors
Split-Plot Designs
More Real Experiments
Soap Experiment
Battery Experiment
Cake-Baking Experiment
Exercises
Designs with One Source of Variation
Introduction
Randomization
Model for a Completely Randomized Design
Estimation of Parameters
ix
Estimable Functions of Parameters
Notation
Obtaining Least Squares Estimates
Properties of Least Squares Estimators
Estimation of σ
Confidence Bound for σ
One-Way Analysis of Variance
Testing Equality of Treatment Effects
Use of p-Values
Sample Sizes
Expected Mean Squares for Treatments
Sample Sizes Using Power of a Test
A Real Experiment—Soap Experiment, Continued
Checklist, Continued
Data Collection and Analysis
Discussion by the Experimenter
Further Observations by the Experimenter
Using SAS Software
Randomization
Analysis of Variance
Exercises
Inferences for Contrasts and Treatment Means
Introduction
Contrasts
Pairwise Comparisons
Treatment Versus Control
Difference of Averages
Trends
Individual Contrasts and Treatment Means
Confidence Interval for a Single Contrast
Confidence Interval for a Single Treatment Mean
Hypothesis Test for a Single Contrast or Treatment Mean
Methods of Multiple Comparisons
Multiple Confidence Intervals
Bonferroni Method for Preplanned Comparisons
Scheff´e Method of Multiple Comparisons
Tukey Method for All Pairwise Comparisons
Dunnett Method for Treatment-Versus-Control
Comparisons
Hsu Method for Multiple Comparisons
with the Best Treatment
Combination of Methods
Sample Sizes
Using SAS Software
Inferences on Individual Contrasts
Multiple Comparisons
Exercises
Checking Model Assumptions
Introduction
Strategy for Checking Model Assumptions
Residuals
Residual Plots
Checking the Fit of the Model
Checking for Outliers
Checking Independence of the Error Terms
Checking the Equal Variance Assumption
Detection of Unequal Variances
Data Transformations to Equalize Variances
Analysis with Unequal Error Variances
Checking the Normality Assumption
Using SAS Software
Using SAS to Generate Residual Plots
Transforming the Data
Exercises
Experiments with Two Crossed Treatment Factors
Introduction
Models and Factorial Effects
The Meaning of Interaction
Models for Two Treatment Factors
Checking the Assumptions on the Model
Contrasts
Contrasts for Main Effects and Interactions
Writing Contrasts as Coefficient Lists
Analysis of the Two-Way Complete Model
Least Squares Estimators for the
Two-Way Complete Model
Estimation of σ for the Two-Way Complete Model
Multiple Comparisons for the Complete Model
Analysis of Variance for the Complete Model
Analysis of the Two-Way Main-Effects Model
Least Squares Estimators for the Main-Effects Model
Estimation of σ in the Main-Effects Model
Multiple Comparisons for the Main-Effects Model
Unequal Variances
Analysis of Variance for Equal Sample Sizes
Model Building
Calculating Sample Sizes
Small Experiments
One Observation per Cell
Analysis Based on Orthogonal Contrasts
Tukey’s Test for Additivity
A Real Experiment—Air Velocity Experiment
Using SAS Software
Contrasts and Multiple Comparisons
Plots
One Observation per Cell
Exercises
Several Crossed Treatment Factors
Introduction
Models and Factorial Effects
Models
The Meaning of Interaction
Separability of Factorial Effects
Estimation of Factorial Contrasts
Analysis—Equal Sample Sizes
A Real Experiment—Popcorn–Microwave Experiment
One Observation per Cell
Analysis Assuming That Certain Interaction Effects
Are Negligible
Analysis Using Normal Probability Plot
of Effect Estimates
Analysis Using Confidence Intervals
Design for the Control of Noise Variability
Analysis of Design-by-Noise Interactions
Analyzing the Effects of Design Factors on Variability
Using SAS Software
Normal Probability Plots of Contrast Estimates
Voss–Wang Confidence Interval Method
Identification of Robust Factor Settings
Experiments with Empty Cells
Exercises
Polynomial Regression
Introduction
Models
Least Squares Estimation (Optional)
Normal Equations
Least Squares Estimates for Simple Linear Regression
Test for Lack of Fit
Analysis of the Simple Linear Regression Model
Analysis of Polynomial Regression Models
Analysis of Variance
Confidence Intervals
Orthogonal Polynomials and Trend Contrasts (Optional)
Simple Linear Regression
Quadratic Regression
Comments
A Real Experiment—Bean-Soaking Experiment
Checklist
One-Way Analysis of Variance
and Multiple Comparisons
Regression Analysis
Using SAS Software
Exercises
Analysis of Covariance
Introduction
Models
Checking Model Assumptions and Equality of Slopes
Model Extensions
Least Squares Estimates
Normal Equations (Optional)
Least Squares Estimates and Adjusted Treatment Means
Analysis of Covariance
Treatment Contrasts and Confidence Intervals
Individual Confidence Intervals
Multiple Comparisons
Using SAS Software
Exercises
Complete Block Designs
Introduction
Blocks, Noise Factors or Covariates?
Design Issues
Block Sizes
Complete Block Design Definitions
The Randomized Complete Block Design
The General Complete Block Design
How Many Observations?
Analysis of Randomized Complete Block Designs
Model and Analysis of Variance
Multiple Comparisons
A Real Experiment—Cotton-Spinning Experiment
Design Details
Sample-Size Calculation
Analysis of the Cotton-Spinning Experiment
Analysis of General Complete Block Designs
Model and Analysis of Variance
Multiple Comparisons for the General Complete
Block Design
Sample-Size Calculations
Checking Model Assumptions
Factorial Experiments
Using SAS Software
Exercises
Incomplete Block Designs
Introduction
Design Issues
Block Sizes
Design Plans and Randomization
Estimation of Contrasts (Optional)
Balanced Incomplete Block Designs
Group Divisible Designs
Cyclic Designs
Analysis of General Incomplete Block Designs
Contrast Estimators and Multiple Comparisons
Least Squares Estimation (Optional)
Analysis of Balanced Incomplete Block Designs
Multiple Comparisons and Analysis of Variance
A Real Experiment—Detergent Experiment
Analysis of Group Divisible Designs
Multiple Comparisons and Analysis of Variance
Analysis of Cyclic Designs
A Real Experiment—Plasma Experiment
Sample Sizes
Factorial Experiments
Factorial Structure
Using SAS Software
Analysis of Variance and Estimation of Contrasts
Plots
Exercises
Designs with Two Blocking Factors
Introduction
Design Issues
Selection and Randomization of Row–Column Designs
Latin Square Designs
Youden Designs
Cyclic and Other Row–Column Designs
Model for a Row–Column Design
Analysis of Row–Column Designs (Optional)
Least Squares Estimation (Optional)
Solution for Complete Column Blocks (Optional)
Formula for ssE (Optional)
Analysis of Variance for a Row–Column
Design (Optional)
Confidence Intervals and Multiple Comparisons
Analysis of Latin Square Designs
Analysis of Variance for Latin Square Designs
Confidence Intervals for Latin Square Designs
How Many Observations?
Analysis of Youden Designs
Analysis of Variance for Youden Designs
Confidence Intervals for Youden Designs
How Many Observations?
Analysis of Cyclic and Other Row–Column Designs
Checking the Assumptions on the Model
Factorial Experiments in Row–Column Designs
Using SAS Software
Factorial Model
Plots
Exercises
Confounded Two-Level Factorial Experiments
Introduction
Single replicate factorial experiments
Coding and notation
Confounding
Analysis
Confounding Using Contrasts
Contrasts
Experiments in Two Blocks
Experiments in Four Blocks
Experiments in Eight Blocks
Experiments in More Than Eight Blocks
Confounding Using Equations
Experiments in Two Blocks
Experiments in More Than Two Blocks
A Real Experiment—Mangold Experiment
Plans for Confounded p Experiments
Multireplicate Designs
Complete Confounding: Repeated Single-Replicate Designs
A Real Experiment—Decontamination Experiment
Partial Confounding
Comparing the Multireplicate Designs
Using SAS Software
Exercises
Confounding in General Factorial Experiments
Introduction
Confounding with Factors at Three Levels
Contrasts
Confounding Using Contrasts
Confounding Using Equations
A Real Experiment—Dye Experiment
Plans for Confounded p Experiments
Designing Using Pseudofactors
Confounding in p Experiments
Confounding in p × q Experiments
Designing Confounded Asymmetrical Experiments
Using SAS Software
Exercises
Fractional Factorial Experiments
Introduction
Fractions from Block Designs; Factors with Levels
Half-Fractions of p Experiments; p− Experiments
Resolution and Notation
A Real Experiment—Soup Experiment
Quarter-Fractions of p Experiments; p− Experiments
Smaller Fractions of p Experiments
Fractions from Block Designs; Factors with Levels
One-Third Fractions of p Experiments;
p− Experiments
One-Ninth Fractions of p Experiments;
p− Experiments
Fractions from Block Designs; Other Experiments
p × q Experiments
p × q Experiments
Blocked Fractional Factorial Experiments
Fractions from Orthogonal Arrays
p Orthogonal Arrays
Saturated Designs
p × q Orthogonal Arrays
p Orthogonal Arrays
Design for the Control of Noise Variability
A Real Experiment—Inclinometer Experiment
Using SAS Software
Fractional Factorials
Design for the Control of Noise Variability
Exercises
Response Surface Methodology
Introduction
First-Order Designs and Analysis
Models
Standard First-Order Designs
Least Squares Estimation
Checking Model Assumptions
Analysis of Variance
Tests for Lack of Fit
Path of Steepest Ascent
Second-Order Designs and Analysis
Models and Designs
Central Composite Designs
Generic Test for Lack of Fit of the Second-Order Model
Analysis of Variance for a Second-Order Model
Canonical Analysis of a Second-Order Model
Properties of Second-Order Designs: CCDs
Rotatability
Orthogonality
Orthogonal Blocking
A Real Experiment: Flour Production Experiment, Continued
Box–Behnken Designs
Using SAS Software
Analysis of a Standard First-Order Design
Analysis of a Second-Order Design
Exercises
Random Effects and Variance Components
Introduction
Some Examples
One Random Effect
The Random-Effects One-Way Model
Estimation of σ
Estimation of σ
T
Testing Equality of Treatment Effects
Confidence Intervals for Variance Components
Sample Sizes for an Experiment with One Random Effect
Checking Assumptions on the Model
Two or More Random Effects
Models and Examples
Checking Model Assumptions
Estimation of σ
Estimation of Variance Components
Confidence Intervals for Variance Components
Hypothesis Tests for Variance Components
Sample Sizes
Mixed Models
Expected Mean Squares and Hypothesis Tests
Confidence Intervals in Mixed Models
Rules for Analysis of Random and Mixed Models
Rules—Equal Sample Sizes
Controversy (Optional)
Block Designs and Random Blocking Factors
Using SAS Software
Checking Assumptions on the Model
Estimation and Hypothesis Testing
Exercises
Nested Models
Introduction
Examples and Models
Analysis of Nested Fixed Effects
Least Squares Estimates
Estimation of σ
Confidence Intervals
Hypothesis Testing
Analysis of Nested Random Effects
Expected Mean Squares
Contents xix
Estimation of Variance Components
Hypothesis Testing
Some Examples
Using SAS Software
Voltage Experiment
Exercises
Split-Plot Designs
Introduction
Designs and Models
Analysis of a Split-Plot Design with Complete Blocks
Split-Plot Analysis
Whole-Plot Analysis
Contrasts Within and Between Whole Plots
A Real Experiment—Oats Experiment
Split-Split-Plot Designs
Split-Plot Confounding
Using SAS Software
Exercises
A Tables
Bibliography
Index of Authors
Index of Experiments
Index of Subjects

أتمنى أن تستفيدوا منه وأن ينال إعجابكم


رابط تنزيل كتاب Design and Analysis of Experiments - 5th Edition

شارك معنا فى حملة فيد وإستفيد
شارك معنا فى المسابقة الهندسية الشهرية
كيفية التسجيل فى منتدى هندسة الإنتاج والتصميم الميكانيكى


*****************************************************************************************


عدل سابقا من قبل أحمد دعبس في الإثنين 11 مارس 2013, 3:42 pm عدل 1 مرات
الرجوع الى أعلى الصفحة اذهب الى الأسفل

كاتب الموضوعرسالة
Admin
مدير المنتدى
مدير المنتدى


عدد المساهمات : 14273
تاريخ التسجيل : 01/07/2009

مُساهمةموضوع: كتاب Design and Analysis of Experiments - 5th Edition   السبت 24 مارس 2012, 10:39 pm

أخوانى فى الله
أحضرت لكم كتاب

تصميم وتحليل التجارب الإصدار الخامس
Design and Analysis of Experiments
5th Edition - Douglas C

ويتناول الموضوعات الأتية :

Principles and Techniques
Design: Basic Principles and Techniques
The Art of Experimentation
Replication
Blocking
Randomization
Analysis: Basic Principles and Techniques
Planning Experiments
Introduction
A Checklist for Planning Experiments
A Real Experiment—Cotton-Spinning Experiment
Some Standard Experimental Designs
Completely Randomized Designs
Block Designs
Designs with Two or More Blocking Factors
Split-Plot Designs
More Real Experiments
Soap Experiment
Battery Experiment
Cake-Baking Experiment
Exercises
Designs with One Source of Variation
Introduction
Randomization
Model for a Completely Randomized Design
Estimation of Parameters
ix
Estimable Functions of Parameters
Notation
Obtaining Least Squares Estimates
Properties of Least Squares Estimators
Estimation of σ
Confidence Bound for σ
One-Way Analysis of Variance
Testing Equality of Treatment Effects
Use of p-Values
Sample Sizes
Expected Mean Squares for Treatments
Sample Sizes Using Power of a Test
A Real Experiment—Soap Experiment, Continued
Checklist, Continued
Data Collection and Analysis
Discussion by the Experimenter
Further Observations by the Experimenter
Using SAS Software
Randomization
Analysis of Variance
Exercises
Inferences for Contrasts and Treatment Means
Introduction
Contrasts
Pairwise Comparisons
Treatment Versus Control
Difference of Averages
Trends
Individual Contrasts and Treatment Means
Confidence Interval for a Single Contrast
Confidence Interval for a Single Treatment Mean
Hypothesis Test for a Single Contrast or Treatment Mean
Methods of Multiple Comparisons
Multiple Confidence Intervals
Bonferroni Method for Preplanned Comparisons
Scheff´e Method of Multiple Comparisons
Tukey Method for All Pairwise Comparisons
Dunnett Method for Treatment-Versus-Control
Comparisons
Hsu Method for Multiple Comparisons
with the Best Treatment
Combination of Methods
Sample Sizes
Using SAS Software
Inferences on Individual Contrasts
Multiple Comparisons
Exercises
Checking Model Assumptions
Introduction
Strategy for Checking Model Assumptions
Residuals
Residual Plots
Checking the Fit of the Model
Checking for Outliers
Checking Independence of the Error Terms
Checking the Equal Variance Assumption
Detection of Unequal Variances
Data Transformations to Equalize Variances
Analysis with Unequal Error Variances
Checking the Normality Assumption
Using SAS Software
Using SAS to Generate Residual Plots
Transforming the Data
Exercises
Experiments with Two Crossed Treatment Factors
Introduction
Models and Factorial Effects
The Meaning of Interaction
Models for Two Treatment Factors
Checking the Assumptions on the Model
Contrasts
Contrasts for Main Effects and Interactions
Writing Contrasts as Coefficient Lists
Analysis of the Two-Way Complete Model
Least Squares Estimators for the
Two-Way Complete Model
Estimation of σ for the Two-Way Complete Model
Multiple Comparisons for the Complete Model
Analysis of Variance for the Complete Model
Analysis of the Two-Way Main-Effects Model
Least Squares Estimators for the Main-Effects Model
Estimation of σ in the Main-Effects Model
Multiple Comparisons for the Main-Effects Model
Unequal Variances
Analysis of Variance for Equal Sample Sizes
Model Building
Calculating Sample Sizes
Small Experiments
One Observation per Cell
Analysis Based on Orthogonal Contrasts
Tukey’s Test for Additivity
A Real Experiment—Air Velocity Experiment
Using SAS Software
Contrasts and Multiple Comparisons
Plots
One Observation per Cell
Exercises
Several Crossed Treatment Factors
Introduction
Models and Factorial Effects
Models
The Meaning of Interaction
Separability of Factorial Effects
Estimation of Factorial Contrasts
Analysis—Equal Sample Sizes
A Real Experiment—Popcorn–Microwave Experiment
One Observation per Cell
Analysis Assuming That Certain Interaction Effects
Are Negligible
Analysis Using Normal Probability Plot
of Effect Estimates
Analysis Using Confidence Intervals
Design for the Control of Noise Variability
Analysis of Design-by-Noise Interactions
Analyzing the Effects of Design Factors on Variability
Using SAS Software
Normal Probability Plots of Contrast Estimates
Voss–Wang Confidence Interval Method
Identification of Robust Factor Settings
Experiments with Empty Cells
Exercises
Polynomial Regression
Introduction
Models
Least Squares Estimation (Optional)
Normal Equations
Least Squares Estimates for Simple Linear Regression
Test for Lack of Fit
Analysis of the Simple Linear Regression Model
Analysis of Polynomial Regression Models
Analysis of Variance
Confidence Intervals
Orthogonal Polynomials and Trend Contrasts (Optional)
Simple Linear Regression
Quadratic Regression
Comments
A Real Experiment—Bean-Soaking Experiment
Checklist
One-Way Analysis of Variance
and Multiple Comparisons
Regression Analysis
Using SAS Software
Exercises
Analysis of Covariance
Introduction
Models
Checking Model Assumptions and Equality of Slopes
Model Extensions
Least Squares Estimates
Normal Equations (Optional)
Least Squares Estimates and Adjusted Treatment Means
Analysis of Covariance
Treatment Contrasts and Confidence Intervals
Individual Confidence Intervals
Multiple Comparisons
Using SAS Software
Exercises
Complete Block Designs
Introduction
Blocks, Noise Factors or Covariates?
Design Issues
Block Sizes
Complete Block Design Definitions
The Randomized Complete Block Design
The General Complete Block Design
How Many Observations?
Analysis of Randomized Complete Block Designs
Model and Analysis of Variance
Multiple Comparisons
A Real Experiment—Cotton-Spinning Experiment
Design Details
Sample-Size Calculation
Analysis of the Cotton-Spinning Experiment
Analysis of General Complete Block Designs
Model and Analysis of Variance
Multiple Comparisons for the General Complete
Block Design
Sample-Size Calculations
Checking Model Assumptions
Factorial Experiments
Using SAS Software
Exercises
Incomplete Block Designs
Introduction
Design Issues
Block Sizes
Design Plans and Randomization
Estimation of Contrasts (Optional)
Balanced Incomplete Block Designs
Group Divisible Designs
Cyclic Designs
Analysis of General Incomplete Block Designs
Contrast Estimators and Multiple Comparisons
Least Squares Estimation (Optional)
Analysis of Balanced Incomplete Block Designs
Multiple Comparisons and Analysis of Variance
A Real Experiment—Detergent Experiment
Analysis of Group Divisible Designs
Multiple Comparisons and Analysis of Variance
Analysis of Cyclic Designs
A Real Experiment—Plasma Experiment
Sample Sizes
Factorial Experiments
Factorial Structure
Using SAS Software
Analysis of Variance and Estimation of Contrasts
Plots
Exercises
Designs with Two Blocking Factors
Introduction
Design Issues
Selection and Randomization of Row–Column Designs
Latin Square Designs
Youden Designs
Cyclic and Other Row–Column Designs
Model for a Row–Column Design
Analysis of Row–Column Designs (Optional)
Least Squares Estimation (Optional)
Solution for Complete Column Blocks (Optional)
Formula for ssE (Optional)
Analysis of Variance for a Row–Column
Design (Optional)
Confidence Intervals and Multiple Comparisons
Analysis of Latin Square Designs
Analysis of Variance for Latin Square Designs
Confidence Intervals for Latin Square Designs
How Many Observations?
Analysis of Youden Designs
Analysis of Variance for Youden Designs
Confidence Intervals for Youden Designs
How Many Observations?
Analysis of Cyclic and Other Row–Column Designs
Checking the Assumptions on the Model
Factorial Experiments in Row–Column Designs
Using SAS Software
Factorial Model
Plots
Exercises
Confounded Two-Level Factorial Experiments
Introduction
Single replicate factorial experiments
Coding and notation
Confounding
Analysis
Confounding Using Contrasts
Contrasts
Experiments in Two Blocks
Experiments in Four Blocks
Experiments in Eight Blocks
Experiments in More Than Eight Blocks
Confounding Using Equations
Experiments in Two Blocks
Experiments in More Than Two Blocks
A Real Experiment—Mangold Experiment
Plans for Confounded p Experiments
Multireplicate Designs
Complete Confounding: Repeated Single-Replicate Designs
A Real Experiment—Decontamination Experiment
Partial Confounding
Comparing the Multireplicate Designs
Using SAS Software
Exercises
Confounding in General Factorial Experiments
Introduction
Confounding with Factors at Three Levels
Contrasts
Confounding Using Contrasts
Confounding Using Equations
A Real Experiment—Dye Experiment
Plans for Confounded p Experiments
Designing Using Pseudofactors
Confounding in p Experiments
Confounding in p × q Experiments
Designing Confounded Asymmetrical Experiments
Using SAS Software
Exercises
Fractional Factorial Experiments
Introduction
Fractions from Block Designs; Factors with Levels
Half-Fractions of p Experiments; p− Experiments
Resolution and Notation
A Real Experiment—Soup Experiment
Quarter-Fractions of p Experiments; p− Experiments
Smaller Fractions of p Experiments
Fractions from Block Designs; Factors with Levels
One-Third Fractions of p Experiments;
p− Experiments
One-Ninth Fractions of p Experiments;
p− Experiments
Fractions from Block Designs; Other Experiments
p × q Experiments
p × q Experiments
Blocked Fractional Factorial Experiments
Fractions from Orthogonal Arrays
p Orthogonal Arrays
Saturated Designs
p × q Orthogonal Arrays
p Orthogonal Arrays
Design for the Control of Noise Variability
A Real Experiment—Inclinometer Experiment
Using SAS Software
Fractional Factorials
Design for the Control of Noise Variability
Exercises
Response Surface Methodology
Introduction
First-Order Designs and Analysis
Models
Standard First-Order Designs
Least Squares Estimation
Checking Model Assumptions
Analysis of Variance
Tests for Lack of Fit
Path of Steepest Ascent
Second-Order Designs and Analysis
Models and Designs
Central Composite Designs
Generic Test for Lack of Fit of the Second-Order Model
Analysis of Variance for a Second-Order Model
Canonical Analysis of a Second-Order Model
Properties of Second-Order Designs: CCDs
Rotatability
Orthogonality
Orthogonal Blocking
A Real Experiment: Flour Production Experiment, Continued
Box–Behnken Designs
Using SAS Software
Analysis of a Standard First-Order Design
Analysis of a Second-Order Design
Exercises
Random Effects and Variance Components
Introduction
Some Examples
One Random Effect
The Random-Effects One-Way Model
Estimation of σ
Estimation of σ
T
Testing Equality of Treatment Effects
Confidence Intervals for Variance Components
Sample Sizes for an Experiment with One Random Effect
Checking Assumptions on the Model
Two or More Random Effects
Models and Examples
Checking Model Assumptions
Estimation of σ
Estimation of Variance Components
Confidence Intervals for Variance Components
Hypothesis Tests for Variance Components
Sample Sizes
Mixed Models
Expected Mean Squares and Hypothesis Tests
Confidence Intervals in Mixed Models
Rules for Analysis of Random and Mixed Models
Rules—Equal Sample Sizes
Controversy (Optional)
Block Designs and Random Blocking Factors
Using SAS Software
Checking Assumptions on the Model
Estimation and Hypothesis Testing
Exercises
Nested Models
Introduction
Examples and Models
Analysis of Nested Fixed Effects
Least Squares Estimates
Estimation of σ
Confidence Intervals
Hypothesis Testing
Analysis of Nested Random Effects
Expected Mean Squares
Contents xix
Estimation of Variance Components
Hypothesis Testing
Some Examples
Using SAS Software
Voltage Experiment
Exercises
Split-Plot Designs
Introduction
Designs and Models
Analysis of a Split-Plot Design with Complete Blocks
Split-Plot Analysis
Whole-Plot Analysis
Contrasts Within and Between Whole Plots
A Real Experiment—Oats Experiment
Split-Split-Plot Designs
Split-Plot Confounding
Using SAS Software
Exercises
A Tables
Bibliography
Index of Authors
Index of Experiments
Index of Subjects

أتمنى أن تستفيدوا منه وأن ينال إعجابكم


رابط تنزيل كتاب Design and Analysis of Experiments - 5th Edition

الرجوع الى أعلى الصفحة اذهب الى الأسفل
Admin
مدير المنتدى
مدير المنتدى


عدد المساهمات : 14273
تاريخ التسجيل : 01/07/2009

مُساهمةموضوع: رد: كتاب Design and Analysis of Experiments - 5th Edition   الجمعة 14 سبتمبر 2012, 1:02 pm

تم تعديل الرابط

الرجوع الى أعلى الصفحة اذهب الى الأسفل
ehabzezo
مهندس تحت الاختبار
مهندس تحت الاختبار


عدد المساهمات : 2
تاريخ التسجيل : 11/03/2013

مُساهمةموضوع: رد: كتاب Design and Analysis of Experiments - 5th Edition   الإثنين 11 مارس 2013, 10:18 am

thanks

الرجوع الى أعلى الصفحة اذهب الى الأسفل
ehabzezo
مهندس تحت الاختبار
مهندس تحت الاختبار


عدد المساهمات : 2
تاريخ التسجيل : 11/03/2013

مُساهمةموضوع: رد: كتاب Design and Analysis of Experiments - 5th Edition   الإثنين 11 مارس 2013, 10:21 am

أين الكتاب يا أخي .... الواحد عمال يلف حولين نفسه من كتر الروابط وفي الآخر ترجع لنفس المكان ... برجاء تعديل الرابط

الرجوع الى أعلى الصفحة اذهب الى الأسفل
Admin
مدير المنتدى
مدير المنتدى


عدد المساهمات : 14273
تاريخ التسجيل : 01/07/2009

مُساهمةموضوع: رد: كتاب Design and Analysis of Experiments - 5th Edition   الإثنين 11 مارس 2013, 3:43 pm

@ehabzezo كتب:
أين الكتاب يا أخي .... الواحد عمال يلف حولين نفسه من كتر الروابط وفي الآخر ترجع لنفس المكان ... برجاء تعديل الرابط



الرابط موجود فى اخر المساهمة الرئيسية
وهاهو مرة ثانية


رابط تنزيل كتاب Design and Analysis of Experiments - 5th Edition

الرجوع الى أعلى الصفحة اذهب الى الأسفل
rehab
مهندس تحت الاختبار
مهندس تحت الاختبار


عدد المساهمات : 1
التقييم : 1
تاريخ التسجيل : 07/06/2013
العمر : 35
الدولة : egypt
العمل : egypt
الجامعة : egypt

مُساهمةموضوع: رد: كتاب Design and Analysis of Experiments - 5th Edition   الجمعة 07 يونيو 2013, 7:06 pm

where is the link?

الرجوع الى أعلى الصفحة اذهب الى الأسفل
Admin
مدير المنتدى
مدير المنتدى


عدد المساهمات : 14273
التقييم : 22960
تاريخ التسجيل : 01/07/2009
العمر : 28
الدولة : مصر
العمل : مدير منتدى هندسة الإنتاج والتصميم الميكانيكى
الجامعة : المنوفية

مُساهمةموضوع: رد: كتاب Design and Analysis of Experiments - 5th Edition   الجمعة 07 يونيو 2013, 7:16 pm

@rehab كتب:
where is the link?



الرابط موجود فى اخر المساهمة الرئيسية
وهاهو مرة ثانية


رابط تنزيل كتاب Design and Analysis of Experiments - 5th Edition

الرجوع الى أعلى الصفحة اذهب الى الأسفل
 

كتاب Design and Analysis of Experiments - 5th Edition

استعرض الموضوع السابق استعرض الموضوع التالي الرجوع الى أعلى الصفحة 
صفحة 3 من اصل 2انتقل الى الصفحة : الصفحة السابقة  1, 2

خدمات الموضوع
 KonuEtiketleri كلمات دليليه
كتاب Design and Analysis of Experiments - 5th Edition , كتاب Design and Analysis of Experiments - 5th Edition , كتاب Design and Analysis of Experiments - 5th Edition ,كتاب Design and Analysis of Experiments - 5th Edition ,كتاب Design and Analysis of Experiments - 5th Edition , كتاب Design and Analysis of Experiments - 5th Edition
 KonuLinki رابط الموضوع
 Konu BBCode BBCode
 KonuHTML Kodu HTMLcode
إذا وجدت وصلات لاتعملفي الموضوع او أن الموضوع [ كتاب Design and Analysis of Experiments - 5th Edition ] مخالف ,, من فضلك راسل الإدارة من هنا
صلاحيات هذا المنتدى:لاتستطيع الرد على المواضيع في هذا المنتدى
منتدى هندسة الإنتاج والتصميم الميكانيكى :: المنتديات الهندسية :: منتدى الكتب والمحاضرات الهندسية :: منتدى الكتب والمحاضرات الهندسية الأجنبية-