Ñf"k ijh{k.kksa dh vfhkdyiukv a,oa fo'ys"k.k esa fodkl

Ñf"k ijh{k.kksa dh vfhkdyiukv a,oa fo'ys"k.k esa fodkl ij 'khrdkyhu Ldwy ¼uoECkj 29] 2011 ls fnlkeckj 19] 2011½ 1- uke% 2- inuke% 3. orzeku fu;ksdrk,oa irk% 4. i=kpkj dk irk% % 5. LFkk;h irk% nwjhkk"k ¼dk;kZy;½% ¼fuokl½ ¼eksckby½% QSDl u0 6. TkUe frffk% 7. fyax (iq#"k@l=h)% 8. v/;kiu@'kks/k@o;kolkf;d vuqhko ¼fiNys 5 lkyksa esa x`g.k in,oa izdk'ku½% 9. osokfgd flfkfr% fookfgr@vfookfgr 10. Hkk-d`-v-i-@vU; laxbuksa ds vurxzr xr 5 o"kksz ds nksjku 'kks/k lsfeukj@xzh"edkyhu @ 'khrdkyhu Ldwy@ vyidkfyu dkslz vkfn esa ;fn lghkkfxrk dh gs r myys[k dhft,% 11. funs'kd Hkk-d`-lk-v-la ds i{k esa vkosnu ds iathdj.k gsrqq :0 50@&¼vizfrns;½ dk ikslvy vkwmzj u0 fnukad 12. 'ksf{kd ;ksx;rk% ijh{kk ikl ih,p. Mh. Lukrdksrj fmxzh vu; fo"k; mrrh.kz o"kz Dykl jsad/ fof k"vrk fo-fo-@ lalfkku 13. fo"k; {ks=% 14. lkaf[;dh] ijh{k.k vfhkdyiuk,oa dei;wvj ds Kku dk Lrj% 15. vxzsf"kr lalfkku dh lalrqfr vkosnu i= vkosnd ds fnukad lfgr glrk{kj vxzsf"k izkf/kdkjh ds eksgj lfgr glrkk{kj,oa fnukad izek.k&i= izekf.kr fd;k tkrk gs fd mijksdr lwpuk lgh gsa bl dk;kzy; }kjk ;k=k HkRrk fn;k tk,xk@ugha fn;k tk,xk A izk;kstd izkf/kdkjh ds frffk rfkk eksgj lfgr glrk{kj uoecj 29] 2011 ls fnlecj 19] 2011 rd Ñf"k ijh{k.kksa dh vfhkdyiukv a,oa fo'ys"k.k esa fodkl ij 'khrdkyhu Ldwy ikb~;øe funs'kd% MkW- Ñ".k yky ¼Hkk-d`-v-i-½ ykbzczsjh,osu;w] ubz fnyyh&110012 http://www.iasri.res.in Please visit: www.iasri.res.in/design ^dq ky ukxfjdrk ds fy, lkaf[;dh lksp,d fnu mruh gh vko ;d gksxh ftruh fd i<+us vksj fy[kus dh {kerk^ &,p-th- osyl ^lkaf[;dh; ijh{k.k vfhkdyiuk ds izhkkoh mi;ksx us gfjr ØkfUr dh uho Mkyh^ &,e],l] LokehukFku çlrkouk d`f"k,oa vu; lgc) fokku ds {ks=ksa esa vuqla/kku ds fy, ijh{k.k vfhkdyiuk,d egroiw.kz vax gsa vfhkdfyir ijh{k.kksa ls izkir vk dmksa ds vk/kkj ij gh os fu"d"kz fudkys tkrs gsa vuqla/kku dks fo o Lrj ij çfr;ksxh cukus ds fy, ;g vko';d gs fd vk dm+ksa ds,d=hdj.k,oa fo'ys"k.k ds fy, mfpr lkaf[;dh; i)fr;ksa dks viuk;k tk,a fokku ds fdlh Hkh fo"k; dk,d vuos"kd] lkaf[;dh; rduhdksa dh i;kzir tkudkjh ds fcuk ml us=ghu O;fDr dh rjg gs tks va/ksjs dejs esa,d dkyh fcyyh dks <wa< jgk gs tks ogk gs gh ughaa fdlh Hkh vuos"k.k dh vfkziw.kz O;k[;k çkir djus ds fy, vk dm+ksa ds fo'ys"k.k ds fy, n{k ijh{k.k vfhkdyiuk,,oa miqdr lkaf[;dh; rduhdksa dk vuqç;ksx vr;kf/kd egroiw.kz gsa vc lkaf[;dh fo"k; vpnh rjg ls fodflr gs vksj lax.kd ds vuqiz;ksx }kjk fdlh Hkh çdkj dk fo'ys"k.k fd;k tk ldrk gsa fqj Hkh] vk dm+ksa dh fo'ys"k.kkred rduhdksa esa fodkl ds Kku dh deh ds dkj.k 'kks/kdrkz uohure,oa mi;qdr fo'ys"k.kkred rduhdksa dk mi;ksx ugha dj ik jgs gsaa 'kks/kdrkzvksa] fo'ks"kdj Ñf"k 'kks/kdrkzvksa ds fy, ;g cgqr gh egroiw.kz gs fd mugsa vk/kqfud lkaf[;dh; rduhdksa,oa lax.kd ds mi;ksx dh tkudkjh gksa vr%] bl ikb~;øe dk mn~ns'; Ñf"k 'kks/kdrkzvksa dh fo'ys"k.kkred n{krk dk v ru djuk rfkk mugsa n{k ijh{k.k vfhkdyiukvksa,oa ijh{kk.kkred vk dm+ksa ds fo'ys"k.k dh ifj"ñr rduhdksa dk v/;;u djus dk volj çnku djuk gsa ;g ikb~;dze O;ogkfjdrk ij vk/kkfjr gs vksj blesa ifj.kkeksa dh O;k[;k ij vf/kd cy fn;k tk;sxka blesa O;k[;kuksa,oa fodflr lkaf[;dh; lkw +Vos;jksa ds mi;ksx dk mfpr lfej.k fd;k tk;sxka mnn~s'; çfrhkkfx;ksa dks ijh{k.k vfhkdyiukvksa esa fodkl,oa Ñf"k vuqla/kku vk dm+ksa ls os fu"d"kz çkir djus ds fy, lkaf[;dh; fo'ys"k.k rduhdksa ls voxr djkuk A lkaf[;dh; vk dm+ksa ds fo'ys"k.k ds fy, lkaf[;dh; lkw +Vos;j isdstksa ds mi;ksx ls çfrhkkfx;ksa dks voxr djkuk A çfrhkkfx;ksa dh 'kks/k] v/;kiu,oa çf'k{k.k {kerkvksa rfkk çlrqfrdj.k dh n{krk dks vixszm djus esa lgk;rk djuk A ikb~;øe fo"k;olrq bl ikb~;øe esa fofhkuu ekwm~;wyl ij O;k[;ku,oa lax.kd vuqiz;ksx }kjk vkwadm+ksa ds fo ys"k.k dk lfej.k fd;k x;k gsa bl ikb~;øe esa d`f"k ijh{k.kksa dh vfhkdyiuk,oa fo'ys"k.k esa fodkl rfkk lkaf[;dh; lkw +Vos;j isdstksa ds mi;ksx ij cy fn;k tk;sxka bl ikb~;øe dk eq[; dsunz d`f"k vuqla/kku ds lkaf[;dh; eqn~nksa ij gksxk,oa tgk rd lehko gksxk chth; fooj.k ij ppkz ugha gksxha vo/kkj.kk,oa vuqç;ksx ij cy nsus ds lkfk&lkfk lkw +Vos;j ds mi;ksx }kjk vk dm+ksa ds fo'ys"k.k ij Hkh?;ku fn;k tk;sxka çfrhkkfx;ksa ls vuqjks/k gs fd os vius lkfk vius 'kks/k dk;z ls lacaf/kr ijh{k.kkred lel;k,,oa vk dm+ksa ds,d vfkok nks lsv lkfk yk, A vk dm+ksa ds bu lsvl dk ifj"ñr lkaf[;dh; rduhdksa ds mi;ksx }kjk fo'ys"k.k fd;k tk;sxk vksj çkillr ifj.kkeksa ij ikb~;øe ds nksjku ppkz Hkh gksxha çr;sd çfrhkkxh dks mldh fo'ks"kkrk ds {ks= esa 'kks/k ds vuqhko dks O;Dr djus dk volj iznku fd;k tk,xk A

ekwm~;wy I% Lakx.kd mi;ksx,oa lkaf[;dh; lkw Vos;j isdst,l-,-,l fmtkbu fjlksflzt lozj,l-ih-,q-bz 1-0,l-ih-,-vkj- 2-0,l-ih-,-Mh- fmtkbu fd;s x;s ijh{k.kksa dh lwpuk iz.kkyh ekwm~;wy II%,dy dkjd VªhVesUV lajpuk gsrq vfhkdyiuk, ijh{k.k vfhkdyiukvksa ds fl)kar O;frjsd fo ys"k.k cgq&rqyukred izfdz;k, viw.kz CykWd vfhkdyiuk, fjt+kwyoscy CykWd vfhkdyiuk, jks&dkwye vfhkdyiuk, cgq&lrjh; ijha{k.kksa ds fy, vfhkdyiuk, uslvsm dkjdksa ds fy, vfhkdyiuk, W VsLV VªhVesUVl & duvªksy dh rqyuk djus ds fy, vfhkdyiuk, Mk;Yy dzkwfll gsrq vfhkdyiuk, ekwm~;wy III% cgq&dkjd VªhVesUV lajpuk gsrq vfhkdyiuk, cgq&miknkuh ijh{k.k vfhkdyiuk, cgq&miknkuh lajpuk lfgr CykWd vfhkdyiuk,,dlvsafmm xzqi fmfoftcy vfhkdyiuk, fliyv,oa LVªkbi IykWV vfhkdyiuk, ÝSD'kuy QSDVksfj;y Iykul vkwjfkksxuy vjst lqijlspqjsfvm vfhkdyiuk, cgq&miknkuh ijh{k.k a esa fopyu vuqfø;k vurjki`"b Ik)fr fej.k ds ijh{k.k ekwm~;wy IV% usnkfud,oa mipkjkred mik; lkeku; jsf[kd ekwmy esa =qfv&in dh izlkeku;rk,oa =qfv in ds izlj.k lekaxrk dk ijh{k.k =qfv&inksa dk Lora=rk ijh{k.k vk dm+ksa dk :ikurj.k fmvsd ku,.m gsumyhax vkwq vkåvyk;lz feflax vk dm+ksa dh gsumyhax ekwm~;wy V% cgq&vuqfdz;k ijh{k.kksa gsrq vfhkdyiuk,w cgq& vuqfø;k ijh{k.kksa ds fy;s vfhkdyiuk,w cgqpj izlj.k fo'ys"k.k,oa lg&izlj.k fo'ys"k.k xqpn fo ys"k.k izeq[k?kvd fo ys"k.k fjihfvm estj MkVk ekwm~;wy VI% vu; mi;ksxh rduhdsa ijh{k.kksa ds lewgksa dk fo ys"k.k Økl&vkWoj vfhkdyiuk, LFkkf;Ro fo ys"k.k,oa,-,e-,e-vkbz-@,l-vkj-bz-th-ekwmy izlj.k?kvd vkdyu d`f"k okfudh ijh{k.k nh?kz dkyhu ijh{k.k tso vkekiu,oa izkfcv fo'ys"k.k ekbzd,sjst ck;ks&bfdoysul ijh{k.k gsrq vfhkdyiuk,w fdlku dh Hkkxhnkjh vuqla/kku Vªk;y LFkku ykbczsjh,osu;w] iwlk] ubz fnyyh&110012 vof/k uoecj 29] 2011 ls fnlecj 19] 2011 ¼21 fnu½ fnyyh esa eksle tuojh&qjojh ekg esa fnyyh dk eksle vr;f/kd BaMk jgrk gs A bl nksjku rkieku vf/kdre 15&25 0 ls- ls U;wure yxhkx 10&15 0 ls- rd jgrk gsa Åuh ol=ksa dh flqkfj k dh tkrh gsa Hkk-d`-lka-v-la-] ftldh LFkkiu 1959 eas gqbz],d,slk vxz.kh lalfkku gs tks d`f"k lkaf[;dh,oa lax.kd vuqiz;ksx ds {ks= esa vuqla/kku,oa f'k{kk@izf'k{k.k nsus dk eq[; mùkjnkf;ro fuhkk jgk gsa bl lalfkku esa N: izhkkx gs v ja fueu vk/kqfud lqfo/kk, miyc/k gsa% lax.kd lqfo/kk, % lalfkku esa vusd lax.kd iz;ksx'kkyk, gsa ftuesa uohure gkmzos;j vksj lkw +Vos;j isdst rks gsa gh] lkfk gh vk/kqfud v/;;u lqfo/kk, Hkh ekstwn gsa A iqlrdky;% lalfkku esa,d le`) bz&iqlrdky; gs ftlesa iqlrdksa vksj lkaf[;dh;] lax.kd fokku,oa nwljs fo"k;ksa ls lacaf/kr tuzyksa ds ladyu ds lkfk&lkfk vkwu&ykbu tuzy vksj fcfcyvksxzkfqd MkVkcsl Hkh miyc/k gs A vfrffk x`g% lalfkku esa,d lqlfttr vfrffkx`g gs tks izfrhkkfx;ksa dh t#jrksa dks iwjk djrk gs A ik=rk d`f"k ds fdlh Hkh fo"k; esa LukRkdksRrj fmxzha Hkk-d`-v-la- vfkok jkt; d`f"k fo'ofo ky; esa oskkfud@ lgk;d izksqslj ds in ls uhps ds in ij inlfk u gks vksj de ls de nks o"kz dk v/;kiu@vuqla/kku dk;z dk vuqhko gksa lax.kd rduhdksa dk dk;zlk/kd Kku gksa ukekadu izr;k'kh] tks vko';d ;ksx;rk j[krs gksa vksj ikb~;øe esa lghkkfxrk djuk pkgrs gsa] os mfpr ek/;e ls vkosnu dj ldrs gsaa izfrhkkfx;ksa dks jsy }kjk ;k=k ds fy, mudh ik=rk dh Js.kh ds vuqlkj izfrcfu/kr,-lh-&ii Vh;j (flokk; jktkëkkuh RkFkk 'krkkcnh ds) ;k cl ;k izpyu esa ifjogu ds fdlh nwljs lk/ku ds fy,] tslk Hkh ekeyk gks] dk fdjk;k fn;k tk,xka izf'k{k.k dk;zøe ds nksjku izfrhkkfx;ksa ds fy, jgus&[kkus dh fu'kqyd O;oLFkk dh tk,xha izfrhkkfx;ksa dh la[;k % 25 vkosnu i= dh izkfir % vdvwcj 12] 2011 pqus x;s izr;kf'k;ksa dks lwfpr djus dh frffk % vdvwcj 18] 2011 lelr i=kpkj fueu dks lacksf/kr djsa% MkW- fot; dqekj HkkfV;k funs'kd] ykbczsjh,osu;w] iwlk] ubz fnyyh & 110012 director@iasri.res.in Qksu% 011&25841479; QSDl% 011&25841564 vfkok MkW- jktsunz izlkn ÁÒkxk/;{k] ijh{k.k vfhkdyiuk ÁHkkx ykbczsjh,osu;w] iwlk] ubz fnyyh & 110012 rajender@iasri.res.in Qksu% 011&25847122/4122; QSDl% 011&25841564 vfkok MkW- Ñ".k yky funs'kd] 'khrdkyhu Ldwy ykbczsjh,osu;w] iwlk] ubz fnyyh & 110012 klkalra@iasri.res.in Qksu% 011&25847122/4122; QSDl% 011&25841564 e ckbzy% 09868664998

Winter School on Recent Advances in Designing and Analysis of Agricultural Experiments (November 29, 2011 - December 19, 2011) 1. Full Name (in block letter): 2. Designation: 3. Present employer and address: 4. Address to which reply should be sent (in block letters) 5. Permanent Address: Telephone No. (off.): (Res.): (Mob) Fax No.: E-mail address: 6. Date of Birth: 7. Sex (Male / Female): 8. Teaching/ Research / Professional Experience (mention post held during last 5 years and number of publications) 9. Marital Status: Married/Unmarried 10. Mention if you have Participated in any Research Seminar/ Summer/ Winter School/ Short Course, etc. during last 5 years under ICAR / other organizations: 11. Postal order No. Dated of Rs. 50/- (Not Refundable) for registration of application drawn in favour of Director, IASRI, New Delhi. 12. Academic Record: Exam. passed Ph.D. Masters degree Other (specify) APPLICATION FORM Subjects Main / subsidiary Year of Passing Class rank/ Distinction etc. University / Institution 13. Discipline: 14. Level of knowledge of Statistics, Design of Experiments and Computer usage: Signature of the Applicant with Date: 15. Recommendations of the forwarding Institute Signature of the forwarding authority with Seal and Date Certificate It is certified that the information furnished above is correct. Traveling allowances will be paid / not paid by this office. Signature of the sponsoring authority with seal and Date WINTER SCHOOL on November 29, 2011 to December 19, 2011 Course Director: Dr. Krishan Lal Indian Agricultural Statistics Research Institute (I.C.A.R.) Library Avenue, PUSA, New Delhi 110012 http://www.iasri.res.in Please visit: www.iasri.res.in/design Statistical thinking will one day be as necessary for the efficient citizenship as the ability to read and write. H.G. Wells It is the effective use of the tools of statistical design of experiments that paved the way for the green revolution. M.S. Swaminathan Introduction Design of experiments is an essential component of research in agriculture and allied sciences. It is through the data collected from designed experiments that valid inferences are drawn. In order to make research globally competitive, it is essential that sound statistical methodologies be adopted for the collection and analysis of data. Without an adequate understanding of statistics, an investigator in any discipline of science may often be like a blind man groping in the dark closet for a black cat that is not there. Efficient design of experiments and appropriate statistical techniques for analyzing the data are very crucial to obtain a meaningful interpretation of the investigation. The subject is now well developed and with the help of computers, it can handle any kind of analysis. However, due to lack of exposure, researchers are not being able to make use of the recent and appropriate design of experiments and statistical analytical techniques. It is very vital for the researchers, particularly agricultural researchers to be acquainted with the efficient design of experiments, modern statistical techniques and use of computers. This course, therefore, aims to update the analytical skills of the agricultural researchers and to provide them with an opportunity to study and learn some of the efficient design of experiments and analytical techniques of experimental data. The course is practical oriented and more emphasis would be given on interpretation of the results. It employs a combination of lectures and exercises using advanced statistical software. Objectives To familiarize the participants with the recent advances in designing of experiments and statistical analysis of experimental data for making valid inferences from agricultural research. To acquaint the participants with the use of statistical software packages for statistical data analysis. To help in upgrading the research, teaching and training capabilities and presentation skills of the participants. Course Contents The course has been structured in a series of modules with classroom lectures and practical on computers. The course emphasizes on Recent Advances in Designing and Analysis of Agricultural Experiments and the use of statistical software packages. The main focus of the course will be on the statistical issues in agricultural research and algebraic details will be avoided as far as possible. Besides laying the focus on concepts and applications, the focus would also be concentrated on

analysis of data using software. Course material will be provided to all participants. The participants are requested to bring with them one or two problems and data sets of their own research. These data sets may be analyzed using appropriate statistical analytical techniques and the results may be discussed during the course. There will be ample opportunity for every participant to express his/her research experiences in the field of specialization. Module I: Computer Usage and Statistical Software Packages SAS Design Resources Server SPFE 1.0 SPAR 2.0 SPAD Information Systems on Designed Experiments Module II: Designs for Single factor Treatment Structure Fundamentals of Design of Experiments Contrast Analysis Multiple Comparison Procedures Incomplete Block Designs Resolvable Block Designs Row-Column Designs Designs for Multi-stage Experiments Designs with Nested Factors Designs for making test treatments-control comparisons Designs for Diallel Crosses Module III: Designs for Multifactor Treatment Structure Factorial Experiments Block Designs with Factorial Structure Extended Group Divisible Designs Split and Strip Plot Designs Fractional Factorial Plans Orthogonal Arrays Supersaturated Designs Factorial Experiments with variations Response Surface Methodology Experiments with Mixtures Module IV: Diagnostics and Remedial Measures Tests of Normality and Homogeneity of Error terms in General linear model Testing the Independence of Error Terms Transformation of Data Detection and Handling of Outliers Handling Missing Data Module V: Designs for Multiple Response Experiments Designs for multi-response experiments Multivariate Analysis of Variance and covariance Cluster Analysis Principal Component Analysis Repeated Measures Data Module VI: Other Useful Techniques Analysis of Groups of Experiments Cross Over Designs Stability Analysis and AMMI/SREG models Variance Components Estimation Agro-forestry Experiments Long term Experiments Bioassays and Probit Analysis Microarrays Designs for Bio-equivalence Trials Farmers Participatory Research Trials Venue Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi-110 012. Duration November 29-December 19, 2011 (21 Days) Climate at Delhi The climate in Delhi is very cold during the month of December. The temperature ranges from a maximum of 15-25 o C to a low of about 10-15 o C. Woolen clothes are recommended. IASRI (http://www.iasri.res.in) IASRI is a premier Institute, established in 1959, mainly responsible for conducting research and imparting education/ training in the field of Agricultural Statistics and Computer Applications. There are six divisions in the institute and the Institute is equipped with the modern facilities that include: Computing facilities: The Institute has several computer laboratories well equipped with latest hardware and software packages along with modern teaching aids. Library: The e-library has rich collection of books and journals on Statistics, Computer Science and other related disciplines including on-line journals and bibliographic databases. Guest house: The Institute has a well-furnished guest house, which can cater to the needs of the participants. Eligibility Master s Degree in any discipline of Agriculture. Working in a position not below the rank of Scientist/ Assistant Professor in ICAR Institute or SAU with a minimum of two years of teaching/research experience. Working knowledge of computational techniques. Nominations Interested personnel fulfilling the eligibility conditions may apply through proper channel. The participants will be paid for the journey, to and fro, restricted to AC-II train fare (Except Rajdhani and Shatabdi) or bus or any other means of transport in vogue, as the case may be. Free boarding and lodging will be provided to the participants during the training program. Number of participants : 25 Last date for receipt of Application : October 12, 2011 Information to Selected Candidates : October 18, 2011 All correspondence may be addressed to: Dr. V.K. Bhatia Director, Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi-110 012. director@iasri.res.in Phone: 011-25841479 Fax: 011-25841564 or Dr. Rajender Parsad Head, Division of Design of Experiments Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi-110012. rajender@iasri.res.in Phone: 011-25847122 / 4122 Fax: 011-25841564 or Dr. Krishan Lal Director, Winter School Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi-110 012. klkalra@iasri.res.in Phone: 011-25847122 / 4158 Fax: 011-25841564 Mobile : 09868664998

APPLICATION FORM Winter School on Recent Advances in Designing and Analysis of Agricultural Experiments (November 29, 2011 - December 19, 2011) 1. Full Name (in block letters): 2. Designation: 3. Present employer and address: 4. Address to which reply should be sent (in block letters) 5. Permanent Address: Telephone No. (off.): (Res.): (Mob) Fax No.: E-mail address: 6. Date of Birth: 7. Sex (Male / Female): 8. Teaching/ Research / Professional Experience (mention post held during last 5 years and number of publications) 9. Marital Status: Married/Unmarried 10. Mention if you have Participated in any Research Seminar/ Summer/ Winter School/ Short Course, etc. during last 5 years under ICAR / other organizations: 11. Postal order No. Dated of Rs. 50/- (Not Refundable) for registration of application drawn in favour of Director, IASRI, New Delhi. 12. Academic Record: Examination passed Ph.D. Masters degree Other (specify) Subjects Main / subsidiary Year of Passing Class rank/ Distinction etc. 13. Discipline: 14. Level of knowledge of Statistics, Design of Experiments and Computer usage: University / Institution 15. Recommendations of the forwarding Institute Signature of the Applicant with Date: Signature of the forwarding authority with Seal and Date Certificate It is certified that the information furnished above is correct. Traveling allowances will be paid / not paid by this office. Signature of the sponsoring authority with seal and Date